Watch and Learn: Teaching Visual In-Context Learning by Removing Textual Shortcuts Paper • 2610.30913 • Published 14 days ago • 10
Asking for What Was Never Requested: Horizontal and Vertical Proactivity in Agents Paper • 2609.37236 • Published Sep 29 • 29
The Mighty ToRR: A Benchmark for Table Reasoning and Robustness Paper • 2502.19412 • Published Feb 17
Reinforcement Learning with Large Action Spaces for Neural Machine Translation Paper • 2210.03053 • Published Oct 6, 2022
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results Paper • 2606.14516 • Published Jun 12 • 7
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting Paper • 2606.09809 • Published Jun 8 • 5
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Paper • 2604.12843 • Published Apr 15 • 1
A Matter of TASTE: Improving Coverage and Difficulty of Agent Benchmarks Paper • 2605.28556 • Published May 27 • 74
Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents Paper • 2605.22608 • Published May 21 • 6
Time to REFLECT: Can We Trust LLM Judges for Evidence-based Research Agents? Paper • 2605.19196 • Published May 18
Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization Paper • 2510.05038 • Published Oct 6, 2025 • 1
From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs Paper • 2604.14137 • Published Apr 16 • 10
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Paper • 2604.12843 • Published Apr 15 • 1
Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents Paper • 2605.22608 • Published May 21 • 6
ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs Paper • 2510.00857 • Published Oct 1, 2025 • 1