Skip to yearly menu bar Skip to main content


Workshop

Workshop on Reasoning and Planning for Large Language Models

Zhiyuan Hu ⋅ Yilun Zhao ⋅ Xidong Feng ⋅ Min-Yen Kan ⋅ Nouha Dziri ⋅ Yali Du ⋅ Pang Wei Koh ⋅ Bryan Hooi ⋅ Arman Cohan
Project Page

Abstract

Video

Chat is not available.

Schedule

Timezone: America/Los_Angeles
11:55 PM
Poster Session 2
The in-context inductive biases of vision-language models differ across modalities
Kelsey Allen ⋅ Eliza Kosoy ⋅ Ishita Dasgupta ⋅ Andrew Lampinen
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
Yibo Yan ⋅ Shen Wang ⋅ Jiahao Huo ⋅ Hang Li ⋅ BOYAN LI ⋅ Jiamin Su ⋅ Xiong Gao ⋅ YiFan Zhang ⋅ Tianlong Xu ⋅ Zhendong Chu ⋅ Aoxiao Zhong ⋅ Kun Wang ⋅ Hui Xiong ⋅ Philip Yu ⋅ Xuming Hu ⋅ Qingsong Wen
Scaling Inference-Time Search with Vision Value Model for Improved Visual Comprehension
Xiyao Wang ⋅ Zhengyuan Yang ⋅ Linjie Li ⋅ Hongjin Lu ⋅ Yuancheng Xu ⋅ Chung-Ching Lin ⋅ Kevin Lin ⋅ Furong Huang ⋅ Lijuan Wang
Adaptive Self-improvement LLM Agentic System for ML Library Development
Genghan Zhang ⋅ Victor Weixin Liang ⋅ Olivia Hsu ⋅ Kunle Olukotun
PHYSICS: Benchmarking Foundation Models for PhD-Qualifying Exam Physics Problem Solving
Kaiyue Feng ⋅ Yilun Zhao ⋅ Yixin Liu ⋅ Tianyu Yang ⋅ Chen Zhao ⋅ John Sous ⋅ Arman Cohan
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
Wanjia Zhao ⋅ Mert Yuksekgonul ⋅ Shirley Wu ⋅ James Y Zou
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubic ⋅ Federico Soldà ⋅ Aurelio Sulser ⋅ Davide Scaramuzza
Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms
Xuerui Su ⋅ Yue Wang ⋅ Jinhua Zhu ⋅ Mingyang Yi ⋅ Feng Xu ⋅ Zhi-Ming Ma ⋅ Yuting Liu
Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst
Hongru WANG ⋅ Deng Cai ⋅ Wanjun Zhong ⋅ Shijue Huang ⋅ J Pan ⋅ Zeming Liu ⋅ Kam-Fai Wong
Spectral Journey: How Transformers Predict the Shortest Path
Andrew Cohen ⋅ Andrey Gromov ⋅ Kaiyu Yang ⋅ Yuandong Tian
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Shengkang Wang ⋅ Hongzhan Lin ⋅ Ziyang Luo ⋅ Zhen Ye ⋅ Guang Chen ⋅ Jing Ma
Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
(Andrew) Zhanke Zhou ⋅ Xuan Li ⋅ Zhaocheng Zhu ⋅ Mikhail Galkin ⋅ Xiao Feng ⋅ Sanmi Koyejo ⋅ Jian Tang ⋅ Bo Han
Think Outside the Bot: Automating Evaluation of Creativity in LLMs for Physical Reasoning with Semantic Entropy and Efficient Multi-Agent Judge
Min Sen Tan ⋅ Zachary Choy ⋅ Swaagat Saikia ⋅ Syed Ali Redha Alsagoff ⋅ Banerjee Mohor ⋅ Nadya Wangsajaya ⋅ Alvin Chan
RuleArena: A Benchmark for LLM Rule-Guided Reasoning in Real-World Scenarios
Ruiwen Zhou ⋅ Wenyue Hua ⋅ Liangming Pan ⋅ Sitao Cheng ⋅ Xiaobao Wu ⋅ En Yu ⋅ William Wang
Plan$^\ast$RAG: Efficient Test-Time Planning for Retrieval Augmented Generation
Prakhar Verma ⋅ Sukruta Midigeshi ⋅ Gaurav Sinha ⋅ Arno Solin ⋅ Nagarajan Natarajan ⋅ Amit Sharma
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search
Zongyu Lin ⋅ Yao Tang ⋅ Xingcheng Yao ⋅ Da Yin ⋅ Ziniu Hu ⋅ Yizhou Sun ⋅ Kai-Wei Chang
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
Mauricio Soroco ⋅ Jialin Song ⋅ Mengzhou Xia ⋅ Kye Emond ⋅ Weiran Sun ⋅ Wuyang Chen
Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving
Sara Rajaee ⋅ Kumar Pratik Kumar Pratik ⋅ Gabriele Cesa ⋅ Arash Behboodi
MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning
Kai Yan ⋅ Zhan Ling ⋅ Kang Liu ⋅ Yifan Yang ⋅ Ting-Han Fan ⋅ Lingfeng Shen ⋅ Zhengyin Du ⋅ Jiecao Chen
WebWalker: Benchmarking LLMs in Web Traversal
Jialong Wu ⋅ Wenbiao Yin ⋅ Yong Jiang ⋅ Zhenglin Wang ⋅ Zekun Xi ⋅ Runnan Fang ⋅ Linhai Zhang ⋅ Yulan He ⋅ Deyu Zhou ⋅ Pengjun Xie ⋅ Fei Huang
IGDA: INTERACTIVE GRAPH DISCOVERY THROUGH LARGE LANGUAGE MODEL AGENTS
Alexander Havrilla ⋅ David Alvarez-Melis ⋅ Nicolo Fusi
When Debate Fails: Bias Reinforcement in Large Language Models
Jihwan Oh ⋅ Minchan Jeong ⋅ Jongwoo Ko ⋅ Se-Young Yun
InductionBench: LLMs Fail in the Simplest Complexity Class
Wenyue Hua ⋅ Fei Sun ⋅ Liangming Pan ⋅ Adam Jardine ⋅ William Wang
MMCode: Benchmarking Multimodal Large Language Models in Code Generation with Visually Rich Programming Problems
Kaixin Li ⋅ Yuchen Tian ⋅ Qisheng Hu ⋅ Ziyang Luo ⋅ Zhiyong Huang ⋅ Jing Ma
Large Language Model-Enhanced Multi-Armed Bandits
Jiahang Sun ⋅ Zhiyong Wang ⋅ Runhan Yang ⋅ Chenjun Xiao ⋅ John C.S. Lui ⋅ Zhongxiang Dai
Improving Test-Time Search for LLMs with Backtracking Against In-Context Value Verifiers
Anikait Singh ⋅ Kushal Arora ⋅ Sedrick Keh ⋅ Jean Mercat ⋅ Tatsunori Hashimoto ⋅ Chelsea Finn ⋅ Aviral Kumar
Teaching Transformers Causal Reasoning through Axiomatic Training
Aniket Vashishtha ⋅ Abhinav Kumar ⋅ Atharva Pandey ⋅ Abbavaram Gowtham Reddy ⋅ Kabir Ahuja ⋅ Vineeth Balasubramanian ⋅ Amit Sharma
OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
Pan Lu ⋅ Bowen Chen ⋅ Sheng Liu ⋅ Rahul Thapa ⋅ Joseph Boen ⋅ James Y Zou
GRAPE: Generalizing Robot Policy via Preference Alignment
Zijian Zhang ⋅ Kaiyuan Zheng ⋅ Zhaorun Chen ⋅ Joel Jang ⋅ Yi Li ⋅ Siwei Han ⋅ Chaoqi Wang ⋅ Mingyu Ding ⋅ Dieter Fox ⋅ Huaxiu Yao
ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use
Kaixin Li ⋅ Meng ziyang ⋅ Hongzhan Lin ⋅ Ziyang Luo ⋅ Yuchen Tian ⋅ Jing Ma ⋅ Zhiyong Huang ⋅ Tat-Seng Chua
Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
Xinnuo Xu ⋅ Rachel Lawrence ⋅ Kshitij Dubey ⋅ Atharva Pandey ⋅ Fabian Falck ⋅ Risa Ueno ⋅ Aditya Nori ⋅ Rahul Sharma ⋅ Amit Sharma ⋅ Javier Hernandez
Large Language Models to Diffusion Finetuning
Edoardo Cetin ⋅ Tianyu Zhao ⋅ Yujin Tang
Optimizing Test-Time Compute via Meta Reinforcement Finetuning
Yuxiao Qu ⋅ Matthew Yang ⋅ Amrith Setlur ⋅ Lewis Tunstall ⋅ Edward Beeching ⋅ Russ Salakhutdinov ⋅ Aviral Kumar
When More is Less: Understanding Chain-of-Thought Length in LLMs
Yuyang Wu ⋅ Yifei Wang ⋅ Tianqi Du ⋅ Stefanie Jegelka ⋅ Yisen Wang
FinMR: A Comprehensive Benchmark for Multimodal Financial Reasoning with Insights from Error Feedback Learning
SHUANGYAN DENG ⋅ Haizhou Peng ⋅ Jiachen Xu ⋅ Chunhou Liu ⋅ Ciprian Doru Giurcaneanu ⋅ Jiamou Liu
Cutting Through the Noise: Boosting LLM Performance on Math Word Problems
Ujjwala Anantheswaran ⋅ Himanshu Gupta ⋅ Kevin Scaria ⋅ Shreyas Verma ⋅ Chitta Baral ⋅ Swaroop Mishra
Decoupling the components of geometric understanding
Eliza Kosoy ⋅ Annya Dahmani ⋅ Andrew Lampinen ⋅ Iulia Comsa ⋅ Soojin Jeong ⋅ Ishita Dasgupta ⋅ Kelsey Allen
Enhancing Mathematical Reasoning in Language Models Through Focused Differentiation Training
Zhiyu Zhao ⋅ Yongcheng Zeng ⋅ Ning Yang ⋅ Zihan Zhao ⋅ Haifeng Zhang ⋅ Jun Wang ⋅ Guoqing Liu
MAS-GPT: Training LLMs To Build LLM-Based Multi-Agent Systems
Rui Ye ⋅ Shuo Tang ⋅ Rui Ge ⋅ Yaxin Du ⋅ Zhenfei Yin ⋅ Jing Shao ⋅ Siheng Chen
ARIES: Stimulating Self-Refinement of Large Language Models with and for Iterative Preference Optimization
Yongcheng Zeng ⋅ Xuanfa Jin ⋅ Guoqing Liu ⋅ Quan He ⋅ Dong Li ⋅ Jianye HAO ⋅ Haifeng Zhang ⋅ Jun Wang
LM2: Large Memory Models for Long Context Reasoning
Jikun Kang ⋅ Wenqi Wu ⋅ Filippos Christianos ⋅ Alex Chan ⋅ Fraser Greenlee ⋅ George Thomas ⋅ Marvin Purtorab ⋅ Andrew Toulis
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Huaijie Wang ⋅ Shibo Hao ⋅ Hanze Dong ⋅ Shenao Zhang ⋅ Yilin Bao ⋅ Ziran Yang ⋅ Yi Wu
Can Large Language Models Reason? A Characterization via 3-SAT
RISHI HAZRA ⋅ Gabriele Venturato ⋅ Pedro Zuidberg Dos Martires ⋅ Luc De Raedt
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
Yuchi Liu ⋅ Jaskirat Singh ⋅ Gaowen Liu ⋅ Ali Payani ⋅ Liang Zheng
Rationalization Models for Text-to-SQL
Gaetano Rossiello ⋅ Nhan Pham ⋅ Michael Glass ⋅ Junkyu Lee ⋅ Dharmashankar Subramanian
PC-Agent: A Hierarchical Agentic Framework for Complex Task Automation on PC
Haowei Liu ⋅ Xi Zhang ⋅ Haiyang Xu ⋅ Yuyang Wanyan ⋅ Junyang Wang ⋅ Ming Yan ⋅ Ji Zhang ⋅ Chunfeng Yuan ⋅ Changsheng Xu ⋅ Weiming Hu ⋅ Fei Huang
Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Qinglin Zhu ⋅ Runcong Zhao ⋅ Hanqi Yan ⋅ Yulan He ⋅ Yudong Chen ⋅ Lin Gui
Agentic Knowledgeable Self-awareness
Shuofei Qiao ⋅ Zhisong Qiu ⋅ Baochang Ren ⋅ Xiaobin Wang ⋅ Xiangyuan Ru ⋅ Ningyu Zhang ⋅ Xiang Chen ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Huajun Chen
Understanding Reasoning in Thinking Language Models via Steering Vectors
Constantin Venhoff ⋅ Iván Arcuschin ⋅ Philip Torr ⋅ Arthur Conmy ⋅ Neel Nanda
RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner
Fu-Chieh Chang ⋅ Yu-Ting Lee ⋅ Hui-Ying Shih ⋅ Yi Tseng ⋅ Pei-Yuan Wu
Resolving Ambiguity through Personalization in LLM chat systems
Sophia Sun ⋅ Abishek Sankararaman ⋅ Balakrishnan Narayanaswamy
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations
Kaixuan Huang ⋅ Jiacheng Guo ⋅ Zihao Li ⋅ Xiang Ji ⋅ Jiawei Ge ⋅ Wenzhe Li ⋅ Yingqing Guo ⋅ Tianle Cai ⋅ Hui Yuan ⋅ Runzhe Wang ⋅ Yue Wu ⋅ Ming Yin ⋅ Shange Tang ⋅ Yangsibo Huang ⋅ Chi Jin ⋅ Xinyun Chen ⋅ Chiyuan Zhang ⋅ Mengdi Wang
UNDERSTANDING INFERENCE SCALING LAWS FOR MIXTURES OF LLMS
Alexander Havrilla ⋅ Srishti Gureja
s1: Simple test-time scaling
Niklas Muennighoff ⋅ Zitong Yang ⋅ Weijia Shi ⋅ XIANG LI ⋅ Li Fei-Fei ⋅ Hanna Hajishirzi ⋅ Luke Zettlemoyer ⋅ Percy Liang ⋅ Emmanuel Candes ⋅ Tatsunori Hashimoto
Chain-of-Thought Reasoning in the Wild is not Always Faithful
Iván Arcuschin ⋅ Jett Janiak ⋅ Robert Krzyzanowski ⋅ Senthooran Rajamanoharan ⋅ Neel Nanda ⋅ Arthur Conmy
Training Large Language Models to Reason in a Continuous Latent Space
Shibo Hao ⋅ Sainbayar Sukhbaatar ⋅ Andy (DiJia) Su ⋅ Xian Li ⋅ Zhiting Hu ⋅ Jason E Weston ⋅ Yuandong Tian
Refining Answer Distributions for Improved Large Language Model Reasoning
Soumyasundar Pal ⋅ Didier Chételat ⋅ Yingxue Zhang ⋅ Mark Coates
Strategic LLM Decoding through Bayesian Games
Weitong Zhang ⋅ Chengqi Zang ⋅ Bernhard Kainz
Meta-Prompt Optimization for LLM-Based Sequential Decision Making
Mingze Kong ⋅ Zhiyong Wang ⋅ Yao Shu ⋅ Zhongxiang Dai
Disentangling Exploration of Large Language Models by Optimal Exploitation
Tim Grams ⋅ Patrick Betz ⋅ Christian Bartelt
TRIG-Bench: A Benchmark for Text-Rich Image Grounding
Ming Li ⋅ Ruiyi Zhang ⋅ Jian Chen ⋅ Tianyi Zhou
EcoAct: Economic Agent Determines When to Register What Action
Shaokun Zhang ⋅ Jieyu Zhang ⋅ Dujian Ding ⋅ Jiale Liu ⋅ Mirian Hipolito Garcia ⋅ Ankur Mallick ⋅ Daniel Madrigal ⋅ Menglin Xia ⋅ Victor Rühle ⋅ Qingyun Wu ⋅ Chi Wang
Revealing chemical reasoning in LLMs through search on complex planning tasks
Andres M Bran ⋅ Théo Neukomm ⋅ Daniel Armstrong ⋅ Zlatko Jončev ⋅ Philippe Schwaller
Language Models Use Trigonometry to Do Addition
Subhash Kantamneni ⋅ Max Tegmark
MastermindEval: A Simple But Scalable Reasoning Benchmark
Jonas Golde ⋅ Patrick Haller ⋅ Fabio Barth ⋅ Alan Akbik
Multi-Agent Verification: Scaling Test-Time Compute with Goal Verifiers
Shalev Lifshitz ⋅ Sheila McIlraith ⋅ Yilun Du
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
Zishun Yu ⋅ Tengyu Xu ⋅ Di Jin ⋅ Karthik Abinav Sankararaman ⋅ Yun He ⋅ Wenxuan Zhou ⋅ Zhouhao Zeng ⋅ Eryk Helenowski ⋅ Chen Zhu ⋅ Sinong Wang ⋅ Hao Ma ⋅ Han Fang
AutoToM: Automated Bayesian Inverse Planning and Model Discovery for Open-ended Theory of Mind
Zhining Zhang ⋅ Chuanyang Jin ⋅ Mung Jia ⋅ Tianmin Shu
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
Yongchao Chen ⋅ Yilun Hao ⋅ Yueying Liu ⋅ Yang Zhang ⋅ Chuchu Fan
StochasTok: Improving Fine-Grained Subword Understanding in LLMs
Anya Sims ⋅ Cong Lu ⋅ Klara Kaleb ⋅ Jakob Foerster ⋅ Yee Whye Teh
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation
Xuan Zhang ⋅ Fengzhuo Zhang ⋅ Cunxiao Du ⋅ Chao Du ⋅ Tianyu Pang ⋅ Wei Gao ⋅ Min Lin
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Runze Liu ⋅ Junqi Gao ⋅ Jian Zhao ⋅ Kaiyan Zhang ⋅ Xiu Li ⋅ Biqing Qi ⋅ Wanli Ouyang ⋅ Bowen Zhou
MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems
Anirudh Chari ⋅ Suraj Reddy ⋅ Aditya Tiwari ⋅ Richard Lian ⋅ Brian Zhou
Reasoning3D - Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models
Tianrun Chen ⋅ Chunan Yu ⋅ Jing Li ⋅ Jianqi Zhang ⋅ Lanyun Zhu ⋅ Deyi Ji ⋅ Yong Zhang ⋅ Ying Zang ⋅ Lingyun Sun ⋅ Zejian Li
Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage
Zhi Gao ⋅ Bofei Zhang ⋅ Pengxiang Li ⋅ Xiaojian Ma ⋅ Tao Yuan ⋅ Yue Fan ⋅ Yuwei Wu ⋅ Yunde Jia ⋅ Song-Chun Zhu ⋅ Qing Li
Learning to Defer for Causal Discovery with Imperfect Experts
Oscar Clivio ⋅ Divyat Mahajan ⋅ Perouz Taslakian ⋅ Sara Magliacane ⋅ Ioannis Mitliagkas ⋅ Valentina Zantedeschi ⋅ Alexandre Drouin
Multi-Turn Code Generation Through Single-Step Rewards
Arnav Kumar Jain ⋅ Gonzalo Gonzalez-Pumariega ⋅ Wayne Chen ⋅ Alexander Rush ⋅ Wenting Zhao ⋅ Sanjiban Choudhury
LookPlanGraph: Embodied instruction following method with VLM graph augmentation
Anatolii Onishchenko ⋅ Aleksey Kovalev ⋅ Aleksandr Panov
Diving into Self-Evolve Training for Multimodal Reasoning
Wei Liu ⋅ Junlong Li ⋅ Xiwen Zhang ⋅ FAN ZHOU ⋅ Yu Cheng ⋅ Junxian He
On the Language of Thoughts in Large Language Models
Chenxi Liu ⋅ Yongqiang Chen ⋅ Tongliang Liu ⋅ James Cheng ⋅ Bo Han ⋅ Kun Zhang
DEDUCE: DEDUCTIVE CONSISTENCY AS A FRAMEWORK TO EVALUATE LLM REASONING
Atharva Pandey ⋅ Kshitij Dubey ⋅ Rahul Sharma ⋅ Amit Sharma
BOLT: Bootstrap Long Chain-of-Thought in Language Models without Distillation
Bo Pang ⋅ Hanze Dong ⋅ Jiacheng Xu ⋅ Silvio Savarese ⋅ Yingbo Zhou ⋅ Caiming Xiong
Rethinking Fine-tuning when Scaling Test-Time Compute: Limiting Confidence Improves Mathematical Reasoning
Feng Chen ⋅ Allan Raventos ⋅ Nan Cheng ⋅ Surya Ganguli ⋅ Shaul Druckmann
DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels
Zhe Xu ⋅ Jiasheng Ye ⋅ Xiaoran Liu ⋅ Xiangyang Liu ⋅ Tianxiang Sun ⋅ Zhigeng Liu ⋅ Qipeng Guo ⋅ Linlin Li ⋅ Qun Liu ⋅ Xuanjing Huang ⋅ Xipeng Qiu
TACO: Learning Multi-modal Models to Reason and Act with Synthetic Chains-of-Thought-and-Action
Zixian Ma ⋅ Jianguo Zhang ⋅ Zhiwei Liu ⋅ Jieyu Zhang ⋅ Juntao Tan ⋅ Manli Shu ⋅ Juan Carlos Niebles ⋅ Shelby Heinecke ⋅ Huan Wang ⋅ Caiming Xiong ⋅ Ranjay Krishna ⋅ silvio savarese
Reinforcement Learning in Inference Time: A Perspective from Successive Policy Iterations
Xinnan Zhang ⋅ Chenliang Li ⋅ Siliang Zeng ⋅ Jiaxiang Li ⋅ Zhongruo Wang ⋅ Songtao Lu ⋅ Alfredo Garcia ⋅ Mingyi Hong
Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
Mark Schoene ⋅ Babak Rahmani ⋅ Heiner Kremer ⋅ Fabian Falck ⋅ Hitesh Ballani ⋅ Jannes Gladrow
Clock and Calendar Understanding Challenges in Multimodal Large Language Models
Rohit Saxena ⋅ Aryo Pradipta Gema ⋅ Pasquale Minervini
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Yiheng Xu ⋅ Zekun Wang ⋅ Junli Wang ⋅ Dunjie Lu ⋅ Tianbao Xie ⋅ Amrita Saha ⋅ Doyen Sahoo ⋅ Tao Yu ⋅ Caiming Xiong
Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
Fangru Lin ⋅ Shaoguang Mao ⋅ Emanuele La Malfa ⋅ Valentin Hofmann ⋅ Adrian de Wynter ⋅ Xun Wang ⋅ Si-Qing Chen ⋅ Michael Wooldridge ⋅ Janet Pierrehumbert ⋅ Furu Wei
Value-Based Deep RL Scales Predictably
Oleh Rybkin ⋅ Michal Nauman ⋅ Preston Fu ⋅ Charlie Snell ⋅ Pieter Abbeel ⋅ Sergey Levine ⋅ Aviral Kumar
Benchmarking Agentic Workflow Generation
Shuofei Qiao ⋅ Runnan Fang ⋅ Zhisong Qiu ⋅ Xiaobin Wang ⋅ Ningyu Zhang ⋅ Yong Jiang ⋅ Pengjun Xie ⋅ Fei Huang ⋅ Huajun Chen
A Benchmark for In-Context Imitation Learning with Long Multimodal Demonstrations
Anian Ruoss ⋅ Fabio Pardo ⋅ Harris Chan ⋅ Bonnie Li ⋅ Volodymyr Mnih ⋅ Tim Genewein
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
Hyunseok Lee ⋅ Seunghyuk Oh ⋅ Jihoon Tack ⋅ Jaehyung Kim ⋅ Jinwoo Shin
Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners
Daniele Paliotta ⋅ Junxiong Wang ⋅ Matteo Pagliardini ⋅ Kevin Li ⋅ Aviv Bick ⋅ Albert Gu ⋅ François Fleuret ⋅ Tri Dao