3 papers
cs.AI2026
Agent Behavior as Code: Efficient and Robust LLM Agents with Programmatic Specifications
Peng Qi, Chunliang Lyu, Gang Li +4
AI agents based on foundation models (FMs) have demonstrated strong capabilities to perform complex open-ended tasks. However, they face some common challenges in practice: (a) age…
cs.CL2025
AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
Mengzhao Jia, Zhihan Zhang, Ignacio Cases +3
Multimodal large language models (MLLMs) have rapidly advanced from perception tasks to complex multi-step reasoning, yet reinforcement learning with verifiable rewards (RLVR) ofte…
cs.LG2025
WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions
Sanjari Srivastava, Gang Li, Cheng Chang +8
Training web agents to navigate complex, real-world websites requires them to master - short-horizon interactions on multiple UI components (e.g., choosing the…