SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Paper ⢠2307.10635 ⢠Published Jul 20, 2023 ⢠9
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement Paper ⢠2503.17352 ⢠Published Mar 21 ⢠23
DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails Paper ⢠2502.05163 ⢠Published Feb 7 ⢠22
Flow-DPO: Improving LLM Mathematical Reasoning through Online Multi-Agent Learning Paper ⢠2410.22304 ⢠Published Oct 29, 2024 ⢠18
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
view post Post 1406 Check out our new benchmark paper on LLM agents for global events forecasting! MIRAI: Evaluating LLM Agents for Event Forecasting (2407.01231) š Arxiv: https://arxiv.org/abs/2407.01231š Project page: https://mirai-llm.github.ioš» GitHub Repo: https://github.com/yecchen/MIRAIš Dataset: https://drive.google.com/file/d/1xmSEHZ_wqtBu1AwLpJ8wCDYmT-jRpfrN/view?usp=sharingš Interactive Demo Notebook: https://colab.research.google.com/drive/1QyqT35n6NbtPaNtqQ6A7ILG_GMeRgdnO?usp=sharing ā¤ļø 2 2 + Reply
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance Paper ⢠2402.08680 ⢠Published Feb 13, 2024 ⢠1
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
Towards Understanding Mixture of Experts in Deep Learning Paper ⢠2208.02813 ⢠Published Aug 4, 2022 ⢠1
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP Paper ⢠2310.00927 ⢠Published Oct 2, 2023 ⢠1
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Paper ⢠2401.01335 ⢠Published Jan 2, 2024 ⢠66