QD-Rec: Open-Ended Evolution of Recommendations via Quality-Diversity Paper • 2610.23470 • Published 20 days ago • 5
QD-Rec: Open-Ended Evolution of Recommendations via Quality-Diversity Paper • 2610.23470 • Published 20 days ago • 5
QD-Rec: Open-Ended Evolution of Recommendations via Quality-Diversity Paper • 2610.23470 • Published 20 days ago • 5
ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty Paper • 2610.17016 • Published 24 days ago • 9
ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty Paper • 2610.17016 • Published 24 days ago • 9
ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty Paper • 2610.17016 • Published 24 days ago • 9
CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies Paper • 2606.16613 • Published Jun 15 • 11
CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies Paper • 2606.16613 • Published Jun 15 • 11
Mitigating Reward Hacking in RLHF via Advantage Sign Robustness Paper • 2604.02986 • Published Apr 3 • 3
Mitigating Reward Hacking in RLHF via Advantage Sign Robustness Paper • 2604.02986 • Published Apr 3 • 3
Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests Paper • 2606.07379 • Published Jun 5 • 6
How Can I Publish My LLM Benchmark Without Giving the True Answers Away? Paper • 2505.18102 • Published May 23, 2025 • 2
Do Coding Agents Deceive Us? Detecting and Preventing Cheating via Capped Evaluation with Randomized Tests Paper • 2606.07379 • Published Jun 5 • 6
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements Paper • 2506.08762 • Published Jun 10, 2025 • 1
How Can I Publish My LLM Benchmark Without Giving the True Answers Away? Paper • 2505.18102 • Published May 23, 2025 • 2