US StanfordComputer Science Dec 8
Yejin Choi Dieter Schwarz Foundation Professor of Computer Science, Senior Fellow at the Stanford Institute for Human-Centered AI Studies large language models, commonsense reasoning and the limits of language model generalization.
Large language models Reasoning & agents Learning theory & optimization2026 Activation Steering for LLM Alignment via a Unified ODE-Based Framework ICLR 2026 BroRL: Scaling Reinforcement Learning via Broadened Exploration ICML 102 T1 · 170 papers · 7 members · 63 alumni SaveUS UCLAComputer Science Dec 15
Researches controllable and creative language generation, multimodal language models and evaluation of language model reasoning.
Large language models Reasoning & agents Vision-language & multimodal2026 ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping ICLR 2026 Decoupling Task-Solving and Output Formatting in LLM Generation ACL 87 T1 · 136 papers · 9 members · 35 alumni SaveSG NTUCollege of Computing and Data Science
Works on natural language processing, including LLM reasoning, multilingual and multimodal language models, discourse and question answering.
Large language models Reasoning & agents Vision-language & multimodal2026 Can Vibe Coders Really Pass the Vibe Check? An Empirical Analysis of Fault-Targeted Reasoning in Frontier LLMs EMNLP 2026 Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction ACL 85 T1 · 110 papers · 1 member · 16 alumni SaveCN PekingWangxuan Institute of Computer Technology Jan 15
Researches cross-media analysis and reasoning, image and video understanding and retrieval, and fine-grained recognition.
Recognition, detection & segmentation Video understanding Reasoning & agents2026 AesFormer: Transform Everyday Photos into Beautiful Memories ICML 2026 Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation ICLR 82 T1 · 128 papers · 14 members · 43 alumni SaveUS CMULanguage Technologies Institute Dec 9
Studies language models and AI agents, including code generation, multilingual NLP and evaluation.
Large language models Reasoning & agents2026 Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents ICLR 2026 Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering ICLR 81 T1 · 124 papers · 15 members · 37 alumni SaveUS StanfordComputer Science Dec 8
Percy Liang Thomas M. Siebel Professor of Machine Learning and Senior Fellow at the Stanford Institute for Human-Centered AI Studies foundation models and their holistic evaluation, including language model transparency and agents.
Large language models Reasoning & agents Generative & foundation models2026 Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing ICLR 2026 Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning ICLR 68 T1 · 88 papers · Group size not listed SaveCN ZhejiangSchool of Artificial Intelligence Feb 28
Develops perception, reasoning and planning models for real-world scenes, including human-attention-inspired visual perception, structured scene understanding…
Recognition, detection & segmentation Embodied & active vision Reasoning & agents2026 Compositional Diffusion Policy for Vision–Language–Action Agents CoRL 2026 Deep Ensemble Clustering for Visual Representation Learning ICML 68 T1 · 70 papers · Group size not listed SaveCN ZhejiangCollege of Control Science and Engineering Feb 28
Works on intelligent robotics, including robot perception, cognition, planning, reasoning, decision making and learning.
Planning, control & multi-robot systems Robot perception & SLAM Reasoning & agents2026 Predictive Local Planning with Multi-Step Reward and Q-Value Forecasting ICRA 2026 Shape Sensing and Tip Tracking via Reciprocating Magnet in the Soft Continuum Robot ICRA 58 T1 · 126 papers · Group size not listed SaveCN PekingSchool of Computer Science Jan 15
Researches natural language processing and large language models, focusing on reasoning and interpretability of LLMs.
Large language models Reasoning & agents Trustworthy & safe ML2026 AlignSAE: Concept-Aligned Sparse Autoencoders TMLR 2026 Do Latent-CoT Models Think Step-by-Step? A Mechanistic Study on Sequential Reasoning Tasks NeurIPS 50 T1 · 59 papers · Group size not listed SaveUS CMUComputer Science Department Dec 9
Tuomas Sandholm Angel Jordan University Professor of Computer Science Studies AI for strategic reasoning, including game solving, mechanism design and market optimization.
Learning theory & optimization Reasoning & neuro-symbolic AI Reasoning & agents2026 Convergence of Regret Matching in Potential Games and Constrained Optimization ICLR 2026 Efficient representations for team and imperfect-recall equilibrium computation Artificial Intelligence 50 T1 · 55 papers · 4 members · 43 alumni SaveUS UCLAComputer Science Dec 15
Directs the StarAI lab on probabilistic circuits, tractable probabilistic reasoning and neurosymbolic learning.
Probabilistic & causal inference Reasoning & neuro-symbolic AI Reasoning & agents2026 Breaking the Factorization Barrier in Diffusion Language Models ICML 2026 CoTs as Probabilistic Programs: A Programmatic View of Thinking Step-by-Step in Language Models NeurIPS 49 T1 · 70 papers · 7 members · 23 alumni SaveUS UWPaul G. Allen School of Computer Science & Engineering Dec 15
Works at the intersection of computer vision and human-computer interaction, including multimodal models and visual reasoning.
Vision-language & multimodal Multimodal & grounded language Reasoning & agents2025 AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation ICLR 2025 Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model CVPR 49 T1 · 54 papers · 21 members · 34 alumni SaveUS UT AustinComputer Science Dec 15
Develops NLP methods and AI agents that communicate and collaborate with people, including semantic parsing, ambiguity and LLM reasoning.
Reasoning & agents Multilingual, translation & linguistics Human-AI collaboration & trust2026 Calibrating Verbalized Confidence with Self-Generated Distractors ICLR 2026 FrankenReport: Early Exiting in Long-Form Generation Using Expected Value of Computation EMNLP 43 T1 · 61 papers · Group size not listed SaveUS USCComputer Science Dec 15
Xiang Ren Andrew and Erna Viterbi Early Career Chair and Associate Professor of Computer Science Leads the INK lab on language model reasoning, commonsense knowledge and machine learning with language.
Large language models Reasoning & agents2026 Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations ACL 2026 DRInQ: Evaluating Conversational Implicature with Controlled Context Variation ACL 42 T1 · 53 papers · 10 members · 78 alumni SaveUS UIUCSiebel School of Computing and Data Science Dec 1
Hao Peng Assistant Professor Studies natural language processing and large language models, including efficient architectures and reasoning.
Large language models Reasoning & agents Accelerators, chips & architecture2026 Countdown-Code: A Testbed for Studying the Emergence and Generalization of Reward Hacking in RLVR EMNLP 2026 Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs ICML 39 T1 · 61 papers · 11 members SaveSG NTUSchool of Electrical and Electronic Engineering
Works on large language models, reasoning, affective computing, embodied AI and AI safety, leading the DeCLaRe lab.
Large language models Reasoning & agents Trustworthy & safe ML2026 10 Open Challenges Steering the Future of Vision-Language-Action Models AAAI 2026 Chain-of-Glimpse: Search-Guided Progressive Object-Grounded Reasoning for Video Understanding ICML 39 T1 · 74 papers · 12 members · 20 alumni SaveCN SJTUSchool of Artificial Intelligence May 31
Works on embodied intelligence, physical reasoning and human activity understanding.
2026 ATHENA: Accelerated Multi-Task Heterogeneous Influence Functions for Robot Data Curation CoRL 2026 Beyond Static Vision: Scene Dynamic Field Unlocks Intuitive Physics Understanding in Multi-modal Large Language Models ICLR 39 T1 · 46 papers · Group size not listed SaveCN ZhejiangSchool of Artificial Intelligence Feb 28
Researches NLP with LLM-based reasoning and planning, LLM agents, embodied AI and model steering.
Reasoning & agents Large language models2026 EM²Mem: Event-Centric Multimodal Memory for Large Language Models EMNLP 2026 Exploring Autonomous Agentic Data Engineering for Model Specialization EMNLP 37 T1 · 48 papers · Group size not listed SaveCN SJTUSchool of Computer Science May 31
Works on natural language processing, AI agents and agent safety.
Reasoning & agents Interpretability, evaluation & safety of LMs2026 Agent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning ACL 2026 An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains AAAI 35 T1 · 42 papers · 14 members · 7 alumni SaveCN SJTUSchool of Computer Science May 31
Pengfei Liu Tenured Track Associate Professor Leads the Generative AI Research (GAIR) group, working on large model training, reasoning and multimodal world models.
Large language models Reasoning & agents Generative & foundation models2026 AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts ACL 2026 CiQi-Agent: Aligning Vision, Tools and Aesthetics in Multimodal Agent for Cultural Reasoning on Chinese Porcelains ECCV 33 T1 · 51 papers · 22 members · 21 alumni Save