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Collections including paper arxiv:2409.07703

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 126
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

Large Language Models

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published 22 days ago • 42
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?

Paper • 2409.07703 • Published Sep 12 • 66
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

Paper • 2410.14059 • Published 26 days ago • 52

📑Trending Papers - September 9⃣️

Qwen2.5-Coder Technical Report

Paper • 2409.12186 • Published Sep 18 • 130
Attention Heads of Large Language Models: A Survey

Paper • 2409.03752 • Published Sep 5 • 87
Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency

Paper • 2409.02634 • Published Sep 4 • 89
OmniGen: Unified Image Generation

Paper • 2409.11340 • Published Sep 17 • 107

Papers - Benchmarks - Data Science

DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?

Paper • 2409.07703 • Published Sep 12 • 66

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DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?

Paper • 2409.07703 • Published Sep 12 • 66

COLLECTION TEST

DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?

Paper • 2409.07703 • Published Sep 12 • 66

Agentic-ly agentic

Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15 • 38
On the limits of agency in agent-based models

Paper • 2409.10568 • Published Sep 14 • 12
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16 • 11
DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?

Paper • 2409.07703 • Published Sep 12 • 66

Multimodal Benchmarks

about 12 hours ago

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

Paper • 2407.07053 • Published Jul 9 • 41
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Paper • 2407.12772 • Published Jul 17 • 33
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Paper • 2407.11691 • Published Jul 16 • 13
MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models

Paper • 2408.02718 • Published Aug 5 • 60

More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3 • 51
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12 • 41
Generative Agents: Interactive Simulacra of Human Behavior

Paper • 2304.03442 • Published Apr 7, 2023 • 11
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 183
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 • 24
RULER: What's the Real Context Size of Your Long-Context Language Models?

Paper • 2404.06654 • Published Apr 9 • 33

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