Silvio Savarese

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers

Test-Time Adaptation for LLM Agents via Environment Interaction

SSR: Socratic Self-Refine for Large Language Model Reasoning

UserRL: Training Interactive User-Centric Agent via Reinforcement Learning

LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering

Echoing: Identity Failures when LLM Agents Talk to Each Other

Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from Math

DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs

Reward-Guided Speculative Decoding for Efficient LLM Reasoning

BLIP-3-Video: You Only Need 32 Tokens to Represent a Video Even in VLMs

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents

LAM Simulator: Advancing Large Action Model Training for Agent via Online Exploration and Feedback Simulation

Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

GIFT-Eval: A Benchmark for General Time Series Forecasting Model Evaluation

Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding