A Matter of TASTE: Improving Coverage and Difficulty of Agent Benchmarks Paper • 2605.28556 • Published May 27 • 73
MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image Paper • 2605.10616 • Published May 11 • 142
Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling Paper • 2605.12411 • Published May 12 • 49
Efficient Agent Evaluation via Diversity-Guided User Simulation Paper • 2604.21480 • Published Apr 23 • 15
Alignment Makes Language Models Normative, Not Descriptive Paper • 2603.17218 • Published Mar 17 • 46
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs Paper • 2603.09906 • Published Mar 10 • 76
Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality Paper • 2602.14080 • Published Feb 15 • 23
LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals Paper • 2601.10700 • Published Jan 15 • 18
The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents Paper • 2601.11496 • Published Jan 16 • 47
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations Paper • 2505.18125 • Published May 23, 2025 • 113
AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation Paper • 2503.19693 • Published Mar 25, 2025 • 76
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance Paper • 2410.18889 • Published Oct 24, 2024 • 15
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance Paper • 2410.18889 • Published Oct 24, 2024 • 15
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance Paper • 2410.18889 • Published Oct 24, 2024 • 15 • 2
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments Paper • 2410.05254 • Published Oct 7, 2024 • 85