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Evaluation

1654 directly classified papers

Papers per year

Papers

Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NIPS 2024
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NIPS 2024
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models? ACL 2024
Intuitive or Dependent? Investigating LLMs’ Behavior Style to Conflicting Prompts ACL 2024
An engine not a camera: Measuring performative power of online search NIPS 2024
Benchmarking Data Science Agents ACL 2024
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models ACL 2024
EmoBench: Evaluating the Emotional Intelligence of Large Language Models ACL 2024
Conformalized Multiple Testing after Data-dependent Selection NIPS 2024
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues ACL 2024
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs ACL 2024
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs ACL 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression NIPS 2024
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents ACL 2024
I am a Strange Dataset: Metalinguistic Tests for Language Models ACL 2024
Why Don’t Prompt-Based Fairness Metrics Correlate? ACL 2024
Questioning the Survey Responses of Large Language Models NIPS 2024
Testing Semantic Importance via Betting NIPS 2024
Towards Human-AI Complementarity with Prediction Sets NIPS 2024
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NIPS 2024
TaskBench: Benchmarking Large Language Models for Task Automation NIPS 2024
Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning EMNLP 2024
Monoculture in Matching Markets NIPS 2024
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models ACL 2024
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark NIPS 2024