Kai Chen

Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning

ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data

JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence

RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy

MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization

ExpVid: A Benchmark for Experiment Video Understanding & Reasoning

Rectifying LLM Thought from Lens of Optimization

LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?

InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models

Context-level Language Modeling by Learning Predictive Context Embeddings

CharacterShot: Controllable and Consistent 4D Character Animation

CompassJudger-2: A Holistic Approach Towards Generalist Judge Model

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Understanding

CODA: Coordinating the Cerebrum and Cerebellum for a Dual-Brain Computer Use Agent with Decoupled Reinforcement Learning

Code-driven Number Sequence Calculation: Enhancing the Inductive Reasoning Abilities of Large Language Models

IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards

LATTE: Learner-Adaptive Teacher-Forced Reflection for Advancing Deep Search

Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective

Sliding Window Attention for Reinforced Reasoning

Lost in Real-World Scenarios: Concretization Disrupts LLM Logical Reasoning

A Benchmark for Self-Evolving Agents via Experience-Driven Lifelong Learning

SciTS: Scientific Time Series Understanding and Generation with LLMs

OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification

InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation

EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning

Coding Triangle: How Does Large Language Model Understand Code?

NP-ENGINE: EMPOWERING OPTIMIZATION REASON- ING IN LARGE LANGUAGE MODELS WITH VERIFIABLE SYNTHETIC NP PROBLEMS

Reasoning as Meta-Learning: An Optimization Perspective to Decipher Long CoT Reasoning in LLMs

LONG-HORIZON REASONING AGENT FOR OLYMPIAD- LEVEL MATHEMATICAL PROBLEM SOLVING

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner

UnifiedVerifier: Unifying Paradigms in Automated LLM Evaluation

OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems

How Brittle is Agent Safety? Rethinking Agent Risk under Intent Concealment and Task Complexity

RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models

Pre-Trained Policy Discriminators are General Reward Models

Rethinking Verification for LLM Code Generation: From Generation to Testing

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning

Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs

FaceShot: Bring Any Character into Life

LLaMA Decoder As Vision Transformer

Training Language Models to Critique with Multi-Agent Feedback

Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go

MindSearch: Mimicking Human Minds Elicits Deep AI Searcher

FOLEYCRAFTER: BRING SILENT VIDEOS TO LIFE WITH LIFELIKE AND SYNCHRONIZED SOUNDS

What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices

StyleShot: A snapshot on any style

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models

Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion Models

MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning