Mohit Bansal ✓
@mohitban47 · joined 18 Sep 2012
Parker Distinguished Prof @UNC. PECASE/ACL/AAAI Fellow. Director https://t.co/5qlPVgnrlN (@unc_ai_group). Past @Berkeley_AI @TTIC_Connect @IITKanpur #NLP #CV
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🎉 Congratulations to Vaidehi on being awarded the well-deserved AdvML Rising Star Award for her contributions in Trustworthy AI, including machine unlearning for LLMs/VLMs, multi-agent and compositional privacy, and belief steering/theory-of-mind for double agent defense, etc.!
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Honored to receive the 2026 AdvML Rising Star Award! 🎉
Thank you to the AdvML committee + community for this recognition, and to my advisor @mohitban47, collaborators at @unc_ai_group and @unccs, and mentors for their support.
I'm excited to share my work on unlearning,
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It was a pleasure visiting the Texas A&M University (TAMU) for their CSE Distinguished Speaker Series -- talked about 3 important AI challenges: Trustworthy Collaboration, World Discovery, and Long-Horizon Memory Planning, across diverse domains & modalities, and real-world https
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Thanks for the kind invitation to the inaugural UCF AI Institute's Distinguished Lecture, Amrit+Mubarak et al. -- looking forward to meeting the awesome faculty+students! 🙂
Will discuss 3 important AI challenges: Trustworthy Collaboration, World Discovery, Long-Horizon Memory
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🚀UCF IAI Distinguished Speaker Series
We’re thrilled to welcome Prof. @mohitban47 @UNC as our inaugural speaker!
🎙️ AI Challenges: Trustworthy Collaboration, World Discovery & Long-Horizon Memory
📅 Sept. 16, 2026
⏰ 11 AM
📍 SPRK 101 @UCF + Zoom
#AI #AgenticAI #TrustworthyAI https:
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@mohitban47 It's my first ACL and I'm really looking forward to it. Thank you so much for putting this together; it's very helpful.
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 @SapirHarary @hirscheran @lovodkin93 @meetdavidwan @biun
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh @gentaiscool @zhan1624 -- PrefixNLI: Detecting Factual Inconsistencies as Soon
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh -- Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg @ArchikiPrasad @codezakh -- GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and V
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg (presentation time/location & links/websites + summary 🧵's for these papers attached below 👇)
-- PR
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci @icmlconf @cyjustinchen @hyunji_amy_lee @hanqi_xiao @jmin__cho @jhuclsp @jaeh0ng_yoon @NTUsg Postdoc application details:
-- Flyer with the link and all the other info about the position/lab/UNC -
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@aclmeeting @danadaeun @jwlee8877 @duynguyen772 @niu_tianyi @EliasEskin @UTCompSci Attending authors of these works at @icmlconf -->
Justin Chih-Yao Chen @cyjustinchen
Hyunji Amy Lee @hyunji_amy_lee
Hanqi Xiao @hanqi_xiao
Jaemin Cho @jmin__cho (now faculty at @jhuclsp)
Jaeh
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Attending authors of these works at @aclmeeting -->
Daeun Lee @danadaeun
Jaewoo Lee @jwlee8877
Duy Nguyen @duynguyen772
Tianyi Niu @niu_tianyi
Elias Stengel-Eskin @eliaseskin (now faculty at @UTCompSci)
and our several collaborators!
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👋 Looking forward to attending #ACL2026 (in-person in San Diego) and #ICML2026 (probably virtually) for these presentations/workshop keynotes & meeting everyone (also, I'll be in the Bay Area beforehand, for a keynote at the Apple Reasoning and Planning Workshop)!
Feel free to h
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🚨 Excited to announce SAS: Stabilizing Efficient Reasoning with Step-Level Advantage Selection is accepted to #ACL2026 Findings.
LLMs can compress reasoning during post-training with short context alone, but silently destabilize training. We propose SAS to fix it by zeroing http
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🚀Announcing MuRGAt!
MLLMs are improving at reasoning over complex multimodal inputs, but does that translate to faithful grounding to multimodal sources (video, audio, charts, etc.)? We find that even strong MLLMs often hallucinate citations despite getting the answer https://t.
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🚨Excited to share our new work viewing reasoning strategies as teaching tools: for fixed target model, which CoT strategies best support learning and generalization?
✨Our answer is intrinsic dimensionality (minimum effective capacity a model needs to solve the task).
Somewhat h
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📢 Introducing Routing with Generated Data (RGD), a new setting for annotation-free LLM routing. We study how routers can be trained without any ground-truth labels. We also introduce CASCAL, a novel label-free LLM router that identifies niche skills using consensus-voting and htt
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announcement link: https://t.co/kmzY5btapq
more info + prev winners here: https://t.co/Bq39PhSCW2
ps. thanks to @radamihalcea for the image 🙂
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Em comparação com contas do mesmo porte
5 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para mais gente do que contas do mesmo porte.
Mediana de visualizações4 457esta conta924mediana para 10K–100K
Alcance, %37.33%esta conta3.62%mediana para 10K–100K
Engajamento, %1.42%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 4 457 | 924 | 4.82× |
| Alcance (visualizações ÷ seguidores) | 37.33% | 3.62% | 10.3× |
| Taxa de engajamento | 1.42% | 1.52% | 0.93× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
59830 Jun
667
8171 Jul
633
364
552
324
612
17.5K7 Jul
5.3K24 Aug
3.7K25 Aug
4.5K3 Sep
5.8K10 Sep
2.7K11 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.67%30 Jun
1.80%
0.49%1 Jul
2.05%
1.65%
1.99%
1.85%
1.63%
0.79%7 Jul
0.17%24 Aug
1.73%25 Aug
2.24%3 Sep
1.42%10 Sep
1.31%11 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes73.9%995 in total
Reposts18.6%250 in total
Replies4.1%55 in total
Bookmarks3.5%47 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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