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22        <a class="navbar-brand"><strong>Yuwei Zhang</strong></a>
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70                        Yuwei Zhang
71                    </div>
72                </div>
73
74                <div class="row small">
75                    <div class="col text-center">
76                        
77                        Ph.D. Student, Halıcıoğlu Data Science Institute, UC San Diego<br/>
78                        
79                    </div>
80                </div>
81
82                <div class="row small">
83                    <div class="col text-center">
84                        <a class="email-text" href="mailto:[email protected]">
85                            zhangyuwei.work(at)gmail.com
86                        </a>
87                    </div>
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89
90                <div class="row pt-2">
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92                        <a class="px-1 no-break" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ">
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100                        </a>
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110
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114                        </a>
115                        
116
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132<div class="row">
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134        <div class="card border-0 shadow-sm bg-white">
135            <div class="card-body p-4">
136                <div class="row px-3 pt-3">
137                    <div class="col h3">
138                        About Me
139                    </div>
140                </div>
141                <div class="row p-3">
142                    <div class="col">
143                        <div class="text-profile-bio mt-0" >
144                            <p>
145  I am a Ph.D. student at the
146  <a href="https://datascience.ucsd.edu/" target="_blank">Halıcıoğlu Data Science Institute, UC San Diego</a>,
147  advised by <a href="https://shangjingbo1226.github.io/" target="_blank">Prof. Jingbo Shang</a>.
148  My research focuses on <b>LLM post-training, continual adaptation, and memory</b>.
149</p> <p>
150  I am especially interested in how language models can improve after pretraining: learning from limited task data,
151  rare success signals, long-horizon feedback, and persistent context while retaining prior knowledge.
152  My recent work studies <a href="https://arxiv.org/abs/2505.12306" target="_blank">knowledge injection</a>,
153  <a href="https://arxiv.org/abs/2605.12741" target="_blank">on-policy self-distillation / reinforcement learning</a>,
154  and <a href="https://arxiv.org/abs/2605.30842" target="_blank">memory-based context management</a>.
155</p> <p>
156  Beyond research, I am passionate about sports, especially hiking, basketball and motor racing.
157</p> <p>
158  Finally, I want to express my sincere gratitude to my advisors, collaborators, and mentors for their invaluable guidance and support throughout my research and life.
159</p>
160                        </div>
161                        
162                            <a target="_blank" href="/files/cv.pdf"><i class="fas fa-file-alt"></i> Curriculum Vitae</a> <br/>
163                        
164                    </div>
165        
166                </div>
167            </div>
168        </div>        
169    </div>
170</div>
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176        <div class="card border-0 shadow-sm bg-white">
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178                <div class="row" data-masonry='{"percentPosition": true }'>
179                    
180                    <div class="col-lg-6">
181                        <div class="mx-2 my-1">
182                            <h6>Education</h6>
183                            <ul class="list-unstyled mb-1">
184                                
185                                <li class="media mb-1">
186                                    
187                                    <div class="media-body">
188                                        <div>University of California San Diego</div>
189                                        <div class="small">
189Halıcıoğlu Data Science Institute</div>
190                                        <div class="small d-flex">
191                                            <div>Ph.D. in Data Science</div>
192                                            <div class="mt-auto ml-auto no-break"><em>2023 - present</em></div>
193                                        </div>
194                                    </div>
195                                </li>
196                                
197                                <li class="media mb-1">
198                                    
199                                    <div class="media-body">
200                                        <div>University of California San Diego</div>
201                                        <div class="small">Electrical Engineering</div>
202                                        <div class="small d-flex">
203                                            <div>M.S. in Electrical Engineering, Machine Learning & Data Science</div>
204                                            <div class="mt-auto ml-auto no-break"><em>2021 - 2023</em></div>
205                                        </div>
206                                    </div>
207                                </li>
208                                
209                                <li class="media mb-1">
210                                    
211                                    <div class="media-body">
212                                        <div>Nankai University</div>
213                                        <div class="small">Physics</div>
214                                        <div class="small d-flex">
215                                            <div>B.S. in Physics</div>
216                                            <div class="mt-auto ml-auto no-break"><em>2016 - 2020</em></div>
217                                        </div>
218                                    </div>
219                                </li>
220                                
221                            </ul>
222                        </div>
223                    </div>
224                    
225
226                    
227                    <div class="col-lg-6">
228                        <div class="mx-2 my-1">
229                            <h6>Experience</h6>
230                            <ul class="list-unstyled mb-1">
231                                
232                                <li class="media mb-1">
233                                    
234                                    <div class="media-body">
235                                        <div>Google DeepMind</div>
236                                        <div class="small"></div>
237                                        <div class="small d-flex">
238                                            <div>Research Scientist Intern</div>
239                                            <div class="mt-auto ml-auto no-break"><em>Summer 2026</em></div>
240                                        </div>
241                                    </div>
242                                </li>
243                                
244                                <li class="media mb-1">
245                                    
246                                    <div class="media-body">
247                                        <div>Amazon Rufus (Foundation Models Team)</div>
248                                        <div class="small"></div>
249                                        <div class="small d-flex">
250                                            <div>Applied Scientist Intern</div>
251                                            <div class="mt-auto ml-auto no-break"><em>Summer 2025 - Spring 2026</em></div>
252                                        </div>
253                                    </div>
254                                </li>
255                                
256                                <li class="media mb-1">
257                                    
258                                    <div class="media-body">
259                                        <div>AMD Research</div>
260                                        <div class="small"></div>
261                                        <div class="small d-flex">
262                                            <div>
262Research Scientist Intern</div>
263                                            <div class="mt-auto ml-auto no-break"><em>Spring 2025</em></div>
264                                        </div>
265                                    </div>
266                                </li>
267                                
268                                <li class="media mb-1">
269                                    
270                                    <div class="media-body">
271                                        <div>Tencent AI Lab</div>
272                                        <div class="small"></div>
273                                        <div class="small d-flex">
274                                            <div>Research Scientist Intern</div>
275                                            <div class="mt-auto ml-auto no-break"><em>Summer 2024</em></div>
276                                        </div>
277                                    </div>
278                                </li>
279                                
280                                <li class="media mb-1">
281                                    
282                                    <div class="media-body">
283                                        <div>Amazon AWS</div>
284                                        <div class="small"></div>
285                                        <div class="small d-flex">
286                                            <div>Applied Scientist Intern</div>
287                                            <div class="mt-auto ml-auto no-break"><em>Summer 2023</em></div>
288                                        </div>
289                                    </div>
290                                </li>
291                                
292                            </ul>
293                        </div>
294                    </div>
295                    
296
297                    
298
299                </div>
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301            </div>
302        </div>
303    </div>
304</div>
305
306        
307
308        
309        
310        
311        <div class="my-3 bg-white shadow-sm rounded-xl">
312    <h6 class="p-3 mb-0 border-bottom border-gray"><i class="fas fa-rss"></i> News</h6>
313    <div class="px-3 pb-1 small">
314        
315        <div class="media py-1 ">
316            
317            <div class="mr-3 text-muted my-1">2026</div>
318            <div class="media-body">
319                
320                <div class="my-1 d-flex">
321                    <div>We released <a href="https://arxiv.org/abs/2606.11559" target="_blank">HERO, our work on agentic self-distillation</a>.</div>
322                    <div class="ml-auto mt-auto text-muted no-break"><i>Jun 13</i></div>
323                </div>
324                
325                <div class="my-1 d-flex">
326                    <div>I advanced to Ph.D. candidacy! The presentation slides are available <a href="/files/pre.pdf" target="_blank">here</a>.</div>
327                    <div class="ml-auto mt-auto text-muted no-break"><i>Jun 10</i></div>
328                </div>
329                
330                <div class="my-1 d-flex">
331                    <div>We released the paper, code and blog for <a href="https://yuweizhang.notion.site/resd" target="_blank">RESD, our work on on-policy self-distillation</a>.</div>
332                    <div class="ml-auto mt-auto text-muted no-break"><i>May 12</i></div>
333                </div>
334                
335                <div class="my-1 d-flex">
336                    <div>Our <a href="https://arxiv.org/abs/2605.30842" target="_blank">work on agent context management CoMem</a> was accepted to ICML 2026.</div>
337                    <div class="ml-auto mt-auto text-muted no-break"><i>May 01</i></div>
338                </div>
339                
340                <div class="my-1 d-flex">
341                    <div>Our <a href="https://arxiv.org/abs/2505.12306" target="_blank">work on knowledge injection WikiDYK</a> was accepted to ACL 2026 as an oral presentation.</div>
342                    <div class="ml-auto mt-auto text-muted no-break"><i>Apr 07</i></div>
343                </div>
344                
345            </div>
346        </div>
347        
348    </div>
349</div>
350
351        
352        
353
354        
355        
356        
357<div class="my-3 p-0 bg-white shadow-sm rounded-xl">
358    <h6 class="border-bottom border-gray p-3 mb-0">
359        <i class="fas fa-star"></i> Selected Publications 
360        <a href="/publications">(view all <i class="fas fa-angle-double-right"></i>)</a>
361    </h6>
362    
363        
364<div class="d-none d-md-block">
365    <div class="row no-gutters border-bottom border-gray">
366        <div class="col-md-3 col-xl-2 mb-md-0 p-md-3"><img data-src="/assets/images/covers/hero-pipeline.jpg" alt="HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation" class="lazy w-100 rounded-sm" src="/assets/images/empty_300x200.png"></div>
367        <div class="col-md-9 col-xl-10 p-3 pl-md-0">
368            <h5 class="mt-0 mb-1 font-weight-normal">HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation</h5>
369            <p class="mt-0 mb-0 small"><span class="text-body">
370            Haoran Liu*, </span><a class="text-body" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ&hl=en"><strong>Yuwei Zhang*</strong></a>
370, <span class="text-body">
371            Xiyao Li, </span><span class="text-body">
372            Bohan Lyu, </span><span class="text-body">
373            Jingbo Shang</span>
374<mark>(* <i> equal contribution</i>)</mark></p>
375            <p class="mt-0 mb-0 small"><i>Preprint</i> 2026  <span data-semantic-scholar-id=""></span></p>
376            <p class="mt-0 mb-0 small text-muted">HERO turns next environment observations into hindsight reflection signals for multi-turn agent self-distillation, improving task success and reducing unnecessary tool-use turns under limited training budgets.</p>
377            
378            <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
379                
380                
381                <a target="_blank" href="https://arxiv.org/abs/2606.11559">[Paper]</a>
382                
383                
384                
385                <a target="_blank" href="https://github.com/liu-hr22/HERO">[Code]</a>
386                
387                
388            </p>
389
390        </div>
391    </div>
392</div>
393
394<div class="row no-gutters d-md-none border-bottom border-gray   lazy" data-src="/assets/images/covers/hero-pipeline.jpg">
395    <div class="w-100  " style="background-color: rgba(255,255,255,0.9);">
396        <div class="d-flex align-items-start flex-column py-3 px-4">
397            <div class="mb-auto"></div>
398            <div>
399                <h5 class="mt-0 mb-1 font-weight-normal">HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation</h5>
400                <p class="mt-0 mb-0 small"><span class="text-body">
401            Haoran Liu*, </span><a class="text-body" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ&hl=en"><strong>Yuwei Zhang*</strong></a>, <span class="text-body">
402            Xiyao Li, </span><span class="text-body">
403            Bohan Lyu, </span><span class="text-body">
404            Jingbo Shang</span>
405<mark>(* <i> equal contribution</i>)</mark></p>
406                <p class="mt-0 mb-0 small"><i>Preprint</i> 2026  <span data-semantic-scholar-id=""></span></p>
407                <p class="mt-0 mb-0 small text-muted">HERO turns next environment observations into hindsight reflection signals for multi-turn agent self-distillation, improving task success and reducing unnecessary tool-use turns under limited training budgets.</p>
408                
409                <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
410                    
411                    
412                    <a target="_blank" href="https://arxiv.org/abs/2606.11559">[Paper]</a>
413                    
414                    
415                    
416                    <a target="_blank" href="https://github.com/liu-hr22/HERO">[Code]</a>
417                    
418                    
419                </p>
420            </div>
421        </div>
422    </div>
423
424</div>    
425    
426        
427<div class="d-none d-md-block">
428    <div class="row no-gutters border-bottom border-gray">
429        <div class="col-md-3 col-xl-2 mb-md-0 p-md-3"><img data-src="/assets/images/covers/comem-cover.png" alt="CoMem: Context Management with A Decoupled Long-Context Model" class="lazy w-100 rounded-sm" src="/assets/images/empty_300x200.png"></div>
430        <div class="col-md-9 col-xl-10 p-3 pl-md-0">
431            <h5 class="mt-0 mb-1 font-weight-normal">CoMem: Context Management with A Decoupled Long-Context Model</h5>
432            <p class="mt-0 mb-0 small"><a class="text-body" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ&hl=en"><strong>Yuwei Zhang</strong></a>, <span class="text-body">
433            Chengyu Dong, </span><span class="text-body">
434            Shuowei Jin, </span><span class="text-body">
435            Changlong Yu, </span><span class="text-body">
436            Hejie Cui, </span><span class="text-body">
437            Hongye Jin, </span><span class="text-body">
438            Xinyang Zhang, </span><span class="text-body">
439            Hamed Bonab, </span><span class="text-body">
440            Colin Lockard, </span><span class="text-body">
441            Jianshu Chen, </span><span class="text-body">
442            Zhenyu Shi, </span><span class="text-body">
443            Jingbo Shang, </span><span class="text-body">
444            Xian Li, </span><span class="text-body">
445            Bing Yin</span></p>
446            <p class="mt-0 mb-0 small"><i>ICML</i> 2026  <span data-semantic-scholar-id=""></span></p>
447            <p class="mt-0 mb-0 small text-muted">CoMem decouples agent reasoning from memory summarization so long-horizon agents can preserve most long-context performance while reducing latency through asynchronous context management.</p>
448            
449            <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
450                
451                
452                <a target="_blank" href="https://arxiv.org/abs/2605.30842">[Paper]</a>
453                
454                
455                
456                <a target="_blank" href="https://github.com/horizon-llm/CoMem">[Code]</a>
457                
458                
459            </p>
460
461        </div>
462    </div>
463</div>
464
465<div class="row no-gutters d-md-none border-bottom border-gray   lazy" data-src="/assets/images/covers/comem-cover.png">
466    <div class="w-100  " style="background-color: rgba(255,255,255,0.9);">
467        <div class="d-flex align-items-start flex-column py-3 px-4">
468            <div class="mb-auto"></div>
469            <div>
470                <h5 class="mt-0 mb-1 font-weight-normal">CoMem: Context Management with A Decoupled Long-Context Model</h5>
471                <p class="mt-0 mb-0 small"><a class="text-body" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ&hl=en"><strong>Yuwei Zhang</strong></a>
471, <span class="text-body">
472            Chengyu Dong, </span><span class="text-body">
473            Shuowei Jin, </span><span class="text-body">
474            Changlong Yu, </span><span class="text-body">
475            Hejie Cui, </span><span class="text-body">
476            Hongye Jin, </span><span class="text-body">
477            Xinyang Zhang, </span><span class="text-body">
478            Hamed Bonab, </span><span class="text-body">
479            Colin Lockard, </span><span class="text-body">
480            Jianshu Chen, </span><span class="text-body">
481            Zhenyu Shi, </span><span class="text-body">
482            Jingbo Shang, </span><span class="text-body">
483            Xian Li, </span><span class="text-body">
484            Bing Yin</span></p>
485                <p class="mt-0 mb-0 small"><i>ICML</i> 2026  <span data-semantic-scholar-id=""></span></p>
486                <p class="mt-0 mb-0 small text-muted">CoMem decouples agent reasoning from memory summarization so long-horizon agents can preserve most long-context performance while reducing latency through asynchronous context management.</p>
487                
488                <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
489                    
490                    
491                    <a target="_blank" href="https://arxiv.org/abs/2605.30842">[Paper]</a>
492                    
493                    
494                    
495                    <a target="_blank" href="https://github.com/horizon-llm/CoMem">[Code]</a>
496                    
497                    
498                </p>
499            </div>
500        </div>
501    </div>
502
503</div>    
504    
505        
506<div class="d-none d-md-block">
507    <div class="row no-gutters border-bottom border-gray">
508        <div class="col-md-3 col-xl-2 mb-md-0 p-md-3"><img data-src="/assets/images/covers/resd-intro.jpg" alt="Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation" class="lazy w-100 rounded-sm" src="/assets/images/empty_300x200.png"></div>
509        <div class="col-md-9 col-xl-10 p-3 pl-md-0">
510            <h5 class="mt-0 mb-1 font-weight-normal">Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation</h5>
511            <p class="mt-0 mb-0 small"><a class="text-body" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ&hl=en"><strong>Yuwei Zhang</strong></a>, <span class="text-body">
512            Sha Li, </span><span class="text-body">
513            Changlong Yu, </span><span class="text-body">
514            Qin Lu, </span><span class="text-body">
515            Shuowei Jin, </span><span class="text-body">
516            Chengyu Dong, </span><span class="text-body">
517            Haoran Liu, </span><span class="text-body">
518            Ilgee Hong, </span><span class="text-body">
519            Xintong Li, </span><span class="text-body">
520            Zhenyu Shi, </span><span class="text-body">
521            Bing Yin, </span><span class="text-body">
522            Jingbo Shang</span></p>
523            <p class="mt-0 mb-0 small"><i>Preprint</i> 2026  <span data-semantic-scholar-id=""></span></p>
524            <p class="mt-0 mb-0 small text-muted">RESD turns failed rollouts into reflection-based supervision and reusable playbook knowledge, letting models improve efficiently even when successful rollouts are rare.</p>
525            
526            <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
527                
528                
529                <a target="_blank" href="https://arxiv.org/abs/2605.12741">[Paper]</a>
530                
531                
532                
533                <a target="_blank" href="https://yuweizhang.notion.site/resd">[Project Page]</a>
534                
535                
536                
537                <a target="_blank" href="https://github.com/horizon-llm/RESD">[Code]</a>
538                
539                
540            </p>
541
542        </div>
543    </div>
544</div>
545
546<div class="row no-gutters d-md-none border-bottom border-gray   lazy" data-src="/assets/images/covers/resd-intro.jpg">
547    <div class="w-100  " style="background-color: rgba(255,255,255,0.9);">
548        <div class="d-flex align-items-start flex-column py-3 px-4">
549            <div class="mb-auto"></div>
550            <div>
551                <h5 class="mt-0 mb-1 font-weight-normal">Learning with Rare Success but Rich Feedback via Reflection-Enhanced Self-Distillation</h5>
552                <p class="mt-0 mb-0 small"><a class="text-body" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ&hl=en"><strong>Yuwei Zhang</strong></a>
552, <span class="text-body">
553            Sha Li, </span><span class="text-body">
554            Changlong Yu, </span><span class="text-body">
555            Qin Lu, </span><span class="text-body">
556            Shuowei Jin, </span><span class="text-body">
557            Chengyu Dong, </span><span class="text-body">
558            Haoran Liu, </span><span class="text-body">
559            Ilgee Hong, </span><span class="text-body">
560            Xintong Li, </span><span class="text-body">
561            Zhenyu Shi, </span><span class="text-body">
562            Bing Yin, </span><span class="text-body">
563            Jingbo Shang</span></p>
564                <p class="mt-0 mb-0 small"><i>Preprint</i> 2026  <span data-semantic-scholar-id=""></span></p>
565                <p class="mt-0 mb-0 small text-muted">RESD turns failed rollouts into reflection-based supervision and reusable playbook knowledge, letting models improve efficiently even when successful rollouts are rare.</p>
566                
567                <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
568                    
569                    
570                    <a target="_blank" href="https://arxiv.org/abs/2605.12741">[Paper]</a>
571                    
572                    
573                    
574                    <a target="_blank" href="https://yuweizhang.notion.site/resd">[Project Page]</a>
575                    
576                    
577                    
578                    <a target="_blank" href="https://github.com/horizon-llm/RESD">[Code]</a>
579                    
580                    
581                </p>
582            </div>
583        </div>
584    </div>
585
586</div>    
587    
588        
589<div class="d-none d-md-block">
590    <div class="row no-gutters border-bottom border-gray">
591        <div class="col-md-3 col-xl-2 mb-md-0 p-md-3"><img data-src="/assets/images/covers/wikidyk-results.png" alt="Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection" class="lazy w-100 rounded-sm" src="/assets/images/empty_300x200.png"></div>
592        <div class="col-md-9 col-xl-10 p-3 pl-md-0">
593            <h5 class="mt-0 mb-1 font-weight-normal">Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection</h5>
594            <p class="mt-0 mb-0 small"><a class="text-body" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ&hl=en"><strong>Yuwei Zhang</strong></a>, <span class="text-body">
595            Wenhao Yu, </span><span class="text-body">
596            Shangbin Feng, </span><span class="text-body">
597            Yifan Zhu, </span><span class="text-body">
598            Letian Peng, </span><span class="text-body">
599            Jayanth Srinivasa, </span><span class="text-body">
600            Gaowen Liu, </span><span class="text-body">
601            Jingbo Shang</span></p>
602            <p class="mt-0 mb-0 small"><i>ACL</i> 2026  <span data-semantic-scholar-id=""></span></p>
603            <p class="mt-0 mb-0 small text-muted">WikiDYK benchmarks real-world knowledge injection from fresh Wikipedia facts and shows bidirectional language models memorize injected knowledge more reliably than causal LMs.</p>
604            
605            <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
606                
607                
608                <a target="_blank" href="https://arxiv.org/abs/2505.12306">[Paper]</a>
609                
610                
611                
612                <a target="_blank" href="https://github.com/zhang-yu-wei/WikiDYK.git">[Code]</a>
613                
614                
615            </p>
616
617        </div>
618    </div>
619</div>
620
621<div class="row no-gutters d-md-none border-bottom border-gray   lazy" data-src="/assets/images/covers/wikidyk-results.png">
622    <div class="w-100  " style="background-color: rgba(255,255,255,0.9);">
623        <div class="d-flex align-items-start flex-column py-3 px-4">
624            <div class="mb-auto"></div>
625            <div>
626                <h5 class="mt-0 mb-1 font-weight-normal">Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection</h5>
627                <p class="mt-0 mb-0 small"><a class="text-body" target="_blank" href="https://scholar.google.com/citations?user=nQyS0asAAAAJ&hl=en"><strong>Yuwei Zhang</strong></a>
627, <span class="text-body">
628            Wenhao Yu, </span><span class="text-body">
629            Shangbin Feng, </span><span class="text-body">
630            Yifan Zhu, </span><span class="text-body">
631            Letian Peng, </span><span class="text-body">
632            Jayanth Srinivasa, </span><span class="text-body">
633            Gaowen Liu, </span><span class="text-body">
634            Jingbo Shang</span></p>
635                <p class="mt-0 mb-0 small"><i>ACL</i> 2026  <span data-semantic-scholar-id=""></span></p>
636                <p class="mt-0 mb-0 small text-muted">WikiDYK benchmarks real-world knowledge injection from fresh Wikipedia facts and shows bidirectional language models memorize injected knowledge more reliably than causal LMs.</p>
637                
638                <p class="small pb-0 mb-0 lh-125 text-muted abstract-links">
639                    
640                    
641                    <a target="_blank" href="https://arxiv.org/abs/2505.12306">[Paper]</a>
642                    
643                    
644                    
645                    <a target="_blank" href="https://github.com/zhang-yu-wei/WikiDYK.git">[Code]</a>
646                    
647                    
648                </p>
649            </div>
650        </div>
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