Rethinking Reward Models for Multi-Domain Test-Time Scaling

Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

GEM: A Gym for Agentic LLMs

VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

OceanGym: A Benchmark Environment for Underwater Embodied Agents

TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning

Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards

Democratizing AI scientists using ToolUniverse

When Does Reasoning Matter? A Controlled Study of Reasoning's Contribution to Model Performance

Multiplayer Nash Preference Optimization

StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention

SimpleFold: Folding Proteins is Simpler than You Think

POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion

Generalizable Geometric Image Caption Synthesis

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Estimating the Empowerment of Language Model Agents

Language Models Can Learn from Verbal Feedback Without Scalar Rewards

Variational Reasoning for Language Models

EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Quantile Advantage Estimation for Entropy-Safe Reasoning

LongLive: Real-time Interactive Long Video Generation

Combinatorial Creativity: A New Frontier in Generalization Abilities

Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach

Rethinking Reward Models for Multi-Domain Test-Time Scaling

Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

GEM: A Gym for Agentic LLMs

VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

OceanGym: A Benchmark Environment for Underwater Embodied Agents

TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning

Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain

Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play

MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use

Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards

Democratizing AI scientists using ToolUniverse

When Does Reasoning Matter? A Controlled Study of Reasoning's Contribution to Model Performance

Multiplayer Nash Preference Optimization

StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention

SimpleFold: Folding Proteins is Simpler than You Think

POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion

Generalizable Geometric Image Caption Synthesis

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Estimating the Empowerment of Language Model Agents

Language Models Can Learn from Verbal Feedback Without Scalar Rewards

Variational Reasoning for Language Models

EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Quantile Advantage Estimation for Entropy-Safe Reasoning

LongLive: Real-time Interactive Long Video Generation

Combinatorial Creativity: A New Frontier in Generalization Abilities

Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach