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Papers
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
ICLR 2025
MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
ACL 2025
MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language
EMNLP 2025
MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents
ACL 2025
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
NAACL 2025
MultiHoax: A Dataset of Multi-hop False-premise questions
ACL 2025
Multi-LMentry: Can Multilingual LLMs Solve Elementary Tasks Across Languages?
EMNLP 2025
MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering
EMNLP 2025
MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models
ICCV 2025
MULTIVOX: A Benchmark for Evaluating Voice Assistants for Multimodal Interactions
EMNLP 2025
MUSTS: MUltilingual Semantic Textual Similarity Benchmark
ACL 2025
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts
CVPR 2025
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
EMNLP 2025
NegVQA: Can Vision Language Models Understand Negation?
ACL 2025
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
EMNLP 2025
NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
COLING 2025
None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering
ACL 2025
NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark
ACL 2025
NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts
EMNLP 2025
NovPhy: A Physical Reasoning Benchmark for Open-World AI Systems Author Links Open Overlay Panel (Abstract Reprint)
IJCAI 2025
NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models
NAACL 2025
Number Cookbook: Number Understanding of Language Models and How to Improve It
ICLR 2025
Nunchi-Bench: Benchmarking Language Models on Cultural Reasoning with a Focus on Korean Superstition
ACL 2025
OAgents: An Empirical Study of Building Effective Agents
EMNLP 2025
OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?
ICLR 2025