Daily Papers

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Deepak Nathani, Lovish Madaan, Nicholas Roberts, Nikolay Bashlykov, Ajay Menon, Vincent Moens, Amar Budhiraja, Despoina Magka, Vladislav Vorotilov, Gaurav Chaurasia, Dieuwke Hupkes, Ricardo Silveira Cabral, Tatiana Shavrina, Jakob Foerster, Yoram Bachrach, William Yang Wang, Roberta Raileanu•Feb 20, 2025•1131

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

M-A-P Team, Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, Kang Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixing Deng, Shuyue Guo, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, Dehua Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tianshun Xing, Ming Xu, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Chengtuo Cheng, Tianhao Cheng, Keyi Ding, Siming Huang, Yun Huang, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Yizhou Tan, Zili Wang, Chenqing Wang, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jingyang Zhang, Xiyue Zhang, Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, Chenghua Zhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang•Feb 20, 2025•787

Daily Papers

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?

S*: Test Time Scaling for Code Generation

LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information

Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning

S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning

PC-Agent: A Hierarchical Multi-Agent Collaboration Framework for Complex Task Automation on PC

Dynamic Concepts Personalization from Single Videos

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation

NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization

How to Get Your LLM to Generate Challenging Problems for Evaluation

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

AlphaMaze: Enhancing Large Language Models' Spatial Intelligence via GRPO

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention

LLM-based User Profile Management for Recommender System

How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild

Unstructured Evidence Attribution for Long Context Query Focused Summarization

Geolocation with Real Human Gameplay Data: A Large-Scale Dataset and Human-Like Reasoning Framework

CLIPPER: Compression enables long-context synthetic data generation

Generating π-Functional Molecules Using STGG+ with Active Learning

Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models