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Papers
GuardBench: A Large-Scale Benchmark for Guardrail Models
EMNLP 2024
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models
CVPR 2024
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?
NAACL 2024
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits
ACL 2024
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
AAAI 2024
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing
NeurIPS 2024
I Could’ve Asked That: Reformulating Unanswerable Questions
EMNLP 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
NeurIPS 2024
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
ACL 2024
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
NeurIPS 2024
InFoBench: Evaluating Instruction Following Ability in Large Language Models
ACL 2024
InstructEval: Systematic Evaluation of Instruction Selection Methods
NAACL 2024
Instruction Fine-Tuning: Does Prompt Loss Matter?
EMNLP 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
EMNLP 2024
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition
Interspeech 2024
Investigating Data Contamination in Modern Benchmarks for Large Language Models
NAACL 2024
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
NeurIPS 2024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
NeurIPS 2024
Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains
COLING 2024
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images
NeurIPS 2024
KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark
COLING 2024
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
ICLR 2024
Large Language Models Are Not Strong Abstract Reasoners
IJCAI 2024
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
EMNLP 2024
Large Language Models Can Not Perform Well in Understanding and Manipulating Natural Language at Both Character and Word Levels?
EMNLP 2024