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Collections including paper arxiv:2502.00698

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Paper • 2502.00698 • Published Feb 2 • 24
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

Paper • 2502.01142 • Published Feb 3 • 24
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Paper • 2502.01100 • Published Feb 3 • 19
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles

Paper • 2502.01081 • Published Feb 3 • 13

What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Paper • 2410.23743 • Published Oct 31, 2024 • 63
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level

Paper • 2411.03562 • Published Nov 5, 2024 • 68
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models

Paper • 2411.03884 • Published Nov 6, 2024 • 28
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Paper • 2502.00698 • Published Feb 2 • 24

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 241
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Paper • 2311.16502 • Published Nov 27, 2023 • 37
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 • 39

about 1 month 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 • 26
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs

Paper • 2412.03205 • Published Dec 4, 2024 • 18

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 47
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 35
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 15
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 62

MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Paper • 2502.00698 • Published Feb 2 • 24
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

Paper • 2502.01142 • Published Feb 3 • 24
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning

Paper • 2502.01100 • Published Feb 3 • 19
The Jumping Reasoning Curve? Tracking the Evolution of Reasoning Performance in GPT-[n] and o-[n] Models on Multimodal Puzzles

Paper • 2502.01081 • Published Feb 3 • 13

about 1 month 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 • 26
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs

Paper • 2412.03205 • Published Dec 4, 2024 • 18

What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective

Paper • 2410.23743 • Published Oct 31, 2024 • 63
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level

Paper • 2411.03562 • Published Nov 5, 2024 • 68
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models

Paper • 2411.03884 • Published Nov 6, 2024 • 28
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models

Paper • 2502.00698 • Published Feb 2 • 24

Multimodal Benchmarks

Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9, 2024 • 47
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17, 2024 • 35
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16, 2024 • 15
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5, 2024 • 62

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 241
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Paper • 2311.16502 • Published Nov 27, 2023 • 37
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 • 39

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