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ydeng9 

published a dataset 4 months ago

openvlthinker/OpenVLThinker_SFT_iter1

Viewer • Updated May 1 • 22.8k • 19 • 1

ydeng9 

updated a dataset 7 months ago

openvlthinker/OpenVLThinker_SFT_iter1

Viewer • Updated May 1 • 22.8k • 19 • 1

hbXNov 

authored a paper 8 months ago

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning

Paper • 2504.01005 • Published Apr 1 • 15

hbXNov 

authored a paper 9 months ago

OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

Paper • 2503.17352 • Published Mar 21 • 24

ydeng9 

authored a paper 9 months ago

OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement

Paper • 2503.17352 • Published Mar 21 • 24

ydeng9 

authored a paper 10 months ago

DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails

Paper • 2502.05163 • Published Feb 7 • 23

ydeng9 

authored a paper about 1 year ago

Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning

Paper • 2410.22304 • Published Oct 29, 2024 • 18

ydeng9 

authored 2 papers over 1 year ago

Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Paper • 2405.19716 • Published May 30, 2024

MIRAI: Evaluating LLM Agents for Event Forecasting

Paper • 2407.01231 • Published Jul 1, 2024 • 18

ydeng9 

posted an update over 1 year ago

view post

Post

1679

Check out our new benchmark paper on LLM agents for global events forecasting! MIRAI: Evaluating LLM Agents for Event Forecasting (2407.01231)

📜 Arxiv: https://arxiv.org/abs/2407.01231
🔗 Project page: https://mirai-llm.github.io
💻 GitHub Repo: https://github.com/yecchen/MIRAI
📁 Dataset: https://drive.google.com/file/d/1xmSEHZ_wqtBu1AwLpJ8wCDYmT-jRpfrN/view?usp=sharing
📊 Interactive Demo Notebook: https://colab.research.google.com/drive/1QyqT35n6NbtPaNtqQ6A7ILG_GMeRgdnO?usp=sharing

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hbXNov 

authored a paper over 1 year ago

DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17, 2024 • 54

ydeng9 

authored a paper almost 2 years ago

Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance

Paper • 2402.08680 • Published Feb 13, 2024 • 1

hbXNov 

authored 6 papers almost 2 years ago

Leaving Reality to Imagination: Robust Classification via Generated Datasets

Paper • 2302.02503 • Published Feb 5, 2023

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

Paper • 2307.01909 • Published Jul 4, 2023

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models

Paper • 2308.15812 • Published Aug 30, 2023 • 1

MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Paper • 2310.02255 • Published Oct 3, 2023 • 2

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation

Paper • 2305.14327 • Published May 23, 2023

ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models

Paper • 2401.13311 • Published Jan 24, 2024 • 12

ydeng9 

authored 2 papers almost 2 years ago

Robust Learning with Progressive Data Expansion Against Spurious Correlation

Paper • 2306.04949 • Published Jun 8, 2023

Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves

Paper • 2311.04205 • Published Nov 7, 2023 • 5