Zaid Khan @codezakh

🚨 Excited to share new work on LLMs and loopholes, accepted to #EMNLP2025 main! When models are faced with conflicting goals and ambiguous instructions that would let them exploit a loophole, many of the strongest models (Qwen, GPT4o, Claude, Gemini) do. This is a new risk and…

🎉 Excited to share that our Video-Skill-CoT paper has been accepted to #EMNLP2025 Findings! Video-Skill-CoT is a domain-adaptive video reasoning framework that automatically constructs skill-aware Chain-of-Thought (CoT) supervisions. It builds a shared skill taxonomy from…

Daeun Lee @danadaeun

3 months ago

🎉 Excited to share that our Video-Skill-CoT paper has been accepted to #EMNLP2025 Findings! Video-Skill-CoT is a domain-adaptive video reasoning framework that automatically constructs skill-aware Chain-of-Thought (CoT) supervisions. It builds a shared skill taxonomy from…

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🎉Excited to share that our MEXA paper is accepted to #EMNLP2025 Findings! 🚀MEXA is a general, training-free multimodal reasoning framework that dynamically selects and aggregates experts/skills for deep, free-form reasoning, and is flexible & extensible to new…

Shoubin Yu @shoubin621

2 months ago

🎉Excited to share that our MEXA paper is accepted to #EMNLP2025 Findings! 🚀MEXA is a general, training-free multimodal reasoning framework that dynamically selects and aggregates experts/skills for deep, free-form reasoning, and is flexible & extensible to new…

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🎉 RACCooN got accepted at #EMNLP2025 Main! 🚀 Our MLLM+Video Diffusion (Video-to-Paragraph-to-Video, V2P2V) framework enables effortless video editing w/ auto-generated descriptions, multi-granular pooling & mask planning. RACCooN Achieves +9.4%p human eval & 49.7%↓ FVD,…

Jaehong Yoon @jaeh0ng_yoon

a year ago

🎉 RACCooN got accepted at #EMNLP2025 Main! 🚀 Our MLLM+Video Diffusion (Video-to-Paragraph-to-Video, V2P2V) framework enables effortless video editing w/ auto-generated descriptions, multi-granular pooling & mask planning. RACCooN Achieves +9.4%p human eval & 49.7%↓ FVD,…

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Excited to share that MAgICoRe has been accepted to #EMNLP2025 main! 🎉 Our work identifies 3 key challenges in LLM refinement for reasoning: 1) Over-correction on easy problems 2) Fail to localize and fix its own errors 3) Too few refinement iterations for harder problems…

Justin Chih-Yao Chen @cyjustinchen

12 months ago

Excited to share that MAgICoRe has been accepted to #EMNLP2025 main! 🎉 Our work identifies 3 key challenges in LLM refinement for reasoning: 1) Over-correction on easy problems 2) Fail to localize and fix its own errors 3) Too few refinement iterations for harder problems…

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🎉Our Video-RTS paper has been accepted at #EMNLP2025 Main!! We propose a novel video reasoning approach that combines data-efficient reinforcement learning (GRPO) with video-adaptive test-time scaling, improving reasoning performance while maintaining efficiency on multiple…

Ziyang Wang @ZiyangW00

2 months ago

🎉Our Video-RTS paper has been accepted at #EMNLP2025 Main!! We propose a novel video reasoning approach that combines data-efficient reinforcement learning (GRPO) with video-adaptive test-time scaling, improving reasoning performance while maintaining efficiency on multiple…

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📢 Introducing RotBench, which tests whether SoTA MLLMs (e.g., GPT-5, GPT-4o, o3, Gemini-2.5-pro) can identify the rotation of input images (0°, 90°, 180°, and 270°). Even frontier MLLMs struggle at this spatial reasoning task that humans solve with >98% Acc. ➡️ Models struggle…

Bifrost-1 Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents

🤔 Can we bridge MLLMs and diffusion models more natively and efficiently, by having MLLMs produce patch-level CLIP latents already aligned with their visual encoders, while fully preserving MLLM's visual reasoning capabilities? Introducing Bifrost-1: 🌈 > High-Fidelity…

🚀 I'm recruiting PhD students to join my lab (jaehong31.github.io) at NTU Singapore (@NTUsg), starting Spring 2026. If you're passionate about doing cutting-edge and high-impact research in multimodal AI, Trustworthy AI, continual learning, or video generation/reasoning,…

Jaehong Yoon @jaeh0ng_yoon

3 months ago

🚀 I'm recruiting PhD students to join my lab (jaehong31.github.io) at NTU Singapore (@NTUsg), starting Spring 2026. If you're passionate about doing cutting-edge and high-impact research in multimodal AI, Trustworthy AI, continual learning, or video generation/reasoning,…

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🚀 We introduce GrAInS, a gradient-based attribution method for inference-time steering (of both LLMs & VLMs). ✅ Works for both LLMs (+13.2% on TruthfulQA) & VLMs (+8.1% win rate on SPA-VL). ✅ Preserves core abilities (<1% drop on MMLU/MMMU). LLMs & VLMs often fail because…

🇦🇹 I’m on my way to #ACL2025 to help present two papers (🧵s below) ➡️ MAT-Steer (07/30 at 11am), our method for steering LLMs w/ multiple attributes (e.g. truthfulness, bias reduction, and toxicity mitigation) simultaneously. ➡️ LAQuer (07/28 at 11am), a new task/framework for…

Elias Stengel-Eskin @EliasEskin

4 months ago

🇦🇹 I’m on my way to #ACL2025 to help present two papers (🧵s below) ➡️ MAT-Steer (07/30 at 11am), our method for steering LLMs w/ multiple attributes (e.g. truthfulness, bias reduction, and toxicity mitigation) simultaneously. ➡️ LAQuer (07/28 at 11am), a new task/framework for…

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🎉 Our paper, GenerationPrograms, which proposes a modular framework for attributable text generation, has been accepted to @COLM_conf! GenerationPrograms produces a program that executes to text, providing an auditable trace of how the text was generated and major gains on…

David Wan @meetdavidwan

3 months ago

🎉 Our paper, GenerationPrograms, which proposes a modular framework for attributable text generation, has been accepted to @COLM_conf! GenerationPrograms produces a program that executes to text, providing an auditable trace of how the text was generated and major gains on…

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🥳 Gap year update: I'll be joining @allen_ai/@UW for 1 year (Sep2025-Jul2026 -> @JHUCompSci) & looking forward to working with amazing folks there, incl. @RanjayKrishna, @HannaHajishirzi, Ali Farhadi. 🚨 I’ll also be recruiting PhD students for my group at @JHUCompSci for Fall…

Jaemin Cho @jmin__cho

4 months ago

🥳 Gap year update: I'll be joining @allen_ai/@UW for 1 year (Sep2025-Jul2026 -> @JHUCompSci) & looking forward to working with amazing folks there, incl. @RanjayKrishna, @HannaHajishirzi, Ali Farhadi. 🚨 I’ll also be recruiting PhD students for my group at @JHUCompSci for Fall…

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The MUGen workshop at #ICML2025 is happening now! Stop by for talks on adversarial ML, unlearning as rational belief revision, failure modes in unlearning, robust LLM unlearning, and the bright vs. dark side of forgetting in generative AI!

Vaidehi Patil @vaidehi_patil_

5 months ago

The MUGen workshop at #ICML2025 is happening now! Stop by for talks on adversarial ML, unlearning as rational belief revision, failure modes in unlearning, robust LLM unlearning, and the bright vs. dark side of forgetting in generative AI!

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📢📢📢 Releasing OpenThinker3-1.5B, the top-performing SFT-only model at the 1B scale! 🚀 OpenThinker3-1.5B is a smaller version of our previous 7B model, trained on the same OpenThoughts3-1.2M dataset.

Overdue job update -- I am now: - A Visiting Scientist at @schmidtsciences, supporting AI safety and interpretability - A Visiting Researcher at the Stanford NLP Group, working with @ChrisGPotts I am so grateful I get to keep working in this fascinating and essential area, and…

I’ll be at #ICML2025 this week to present ScPO: 📌 Wednesday, July 16th, 11:00 AM-1:30 PM 📍East Exhibition Hall A-B, E-2404 Stop by or reach out to chat about improving reasoning in LLMs, self-training, or just tips about being on the job market next cycle! 😃

Jason Weston @jaseweston

10 months ago

I’ll be at #ICML2025 this week to present ScPO: 📌 Wednesday, July 16th, 11:00 AM-1:30 PM 📍East Exhibition Hall A-B, E-2404 Stop by or reach out to chat about improving reasoning in LLMs, self-training, or just tips about being on the job market next cycle! 😃

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🥳 Excited to share our work -- Retrieval-Augmented Generation with Conflicting Evidence -- on addressing conflict in RAG due to ambiguity, misinformation, and noisy/irrelevant evidence has been accepted to @COLM_conf #COLM2025! Our new benchmark RAMDocs proves challenging for…

Han Wang @HanWang98

5 months ago

🥳 Excited to share our work -- Retrieval-Augmented Generation with Conflicting Evidence -- on addressing conflict in RAG due to ambiguity, misinformation, and noisy/irrelevant evidence has been accepted to @COLM_conf #COLM2025! Our new benchmark RAMDocs proves challenging for…

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🚨Introducing Video-RTS: Resource-Efficient RL for Video Reasoning with Adaptive Video TTS! While RL-based video reasoning with LLMs has advanced, the reliance on large-scale SFT with extensive video data and long CoT annotations remains a major bottleneck. Video-RTS tackles…