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Discover the best community collections!

Collections including paper arxiv:2501.14249

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 192
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Paper • 2311.16502 • Published Nov 27, 2023 • 35
BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18, 2024 • 26
RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9, 2024 • 35

about 19 hours ago

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 26
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 43
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

Evolving Deeper LLM Thinking

Paper • 2501.09891 • Published Jan 17 • 106
PaSa: An LLM Agent for Comprehensive Academic Paper Search

Paper • 2501.10120 • Published Jan 17 • 44
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong

Paper • 2501.09775 • Published Jan 16 • 29
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Paper • 2501.10132 • Published Jan 17 • 19

Benchmark and Evaluation

Humanity's Last Exam

Paper • 2501.14249 • Published Jan 24 • 66
Benchmarking LLMs for Political Science: A United Nations Perspective

Paper • 2502.14122 • Published 22 days ago • 2
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval

Paper • 2503.04644 • Published 7 days ago • 20
ExpertGenQA: Open-ended QA generation in Specialized Domains

Paper • 2503.02948 • Published 9 days ago

Evaluation for Generative AI

Papers and resources that are dealing with the evaluation of large language models and generative AI.

Humanity's Last Exam

Paper • 2501.14249 • Published Jan 24 • 66
RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques

Paper • 2501.14492 • Published Jan 24 • 31

Humanity's Last Exam

Paper • 2501.14249 • Published Jan 24 • 66
Redundancy Principles for MLLMs Benchmarks

Paper • 2501.13953 • Published Jan 20 • 28

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 276
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 263
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published Dec 18, 2024 • 135
Apollo: An Exploration of Video Understanding in Large Multimodal Models

Paper • 2412.10360 • Published Dec 13, 2024 • 140

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Paper • 2501.01257 • Published Jan 2 • 50
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain

Paper • 2412.13018 • Published Dec 17, 2024 • 41
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 80
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models

Paper • 2501.02955 • Published Jan 6 • 40

about 12 hours ago

GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation

Paper • 2411.18499 • Published Nov 27, 2024 • 18
VLSBench: Unveiling Visual Leakage in Multimodal Safety

Paper • 2411.19939 • Published Nov 29, 2024 • 10
AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?

Paper • 2412.02611 • Published Dec 3, 2024 • 24
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs

Paper • 2412.03205 • Published Dec 4, 2024 • 16

Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4, 2024 • 72
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Paper • 2409.05840 • Published Sep 9, 2024 • 48
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs

Paper • 2409.05152 • Published Sep 8, 2024 • 32
Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published Sep 19, 2024 • 138

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