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All Explained Papers · cs.AI

2114 papers in cs.AI. Page 2 of 106. ← Back to home

• arXiv:2505.16056 · cs.LG+1 · submitted 2025-05-21 · explained 2026-08-20
  Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
  Jingcong Liang, Siyuan Wang, Miren Tian, et al.
• arXiv:2505.12864 · cs.CL+2 · submitted 2025-05-19 · explained 2026-08-20
  LEXam: Benchmarking Legal Reasoning on 340 Law Exams
  Yu Fan, Jingwei Ni, Jakob Merane, et al.
• arXiv:2504.19162 · cs.CL+2 · submitted 2025-04-27 · explained 2026-08-20
  SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning
  Jiaqi Chen, Bang Zhang, Ruotian Ma, et al.
• arXiv:2502.16982 · cs.LG+2 · submitted 2025-02-24 · explained 2026-08-20
  0.1[width=0.032]figures/logo.png Muon is Scalable for LLM Training
  Jingyuan Liu, Jianlin Su, Xingcheng Yao, et al.
• arXiv:2502.14382 · cs.LG+1 · submitted 2025-02-20 · explained 2026-08-20
  ~Test Time Scaling for Code Generation
  Dacheng Li, Shiyi Cao, Chengkun Cao, et al.
• arXiv:2502.12224 · cs.AI+1 · submitted 2025-02-17 · explained 2026-08-20
  Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer Gate
  Zhiyuan Fang, Zicong Hong, Yuegui Huang, et al.
• arXiv:2502.00988 · cs.CL+1 · submitted 2025-02-03 · explained 2026-08-20
  PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback
  Kanika Goswami, Puneet Mathur, Ryan Rossi, et al.
• arXiv:2411.14033 · cs.AI · submitted 2024-11-21 · explained 2026-08-20
  LLM-based Multi-Agent Systems: and Business Perspectives
  Yingxuan Yang, Qiuying Peng, Jun Wang, et al.
• arXiv:2410.18976 · cs.CV+4 · submitted 2024-10-24 · explained 2026-08-20
  [width=1cm]Figures/Camel.pdf CAMEL-Bench: A Comprehensive Arabic LMM Benchmark
  Sara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.
• arXiv:2410.05160 · cs.CV+2 · submitted 2024-10-07 · explained 2026-08-20
  VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
  Ziyan Jiang, Rui Meng, Xinyi Yang, et al.
• arXiv:2409.11404 · cs.CL+1 · submitted 2024-09-17 · explained 2026-08-20
  darkskyAraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
  Basel Mousi, Nadir Durrani, Fatema Ahmad, et al.
• arXiv:2407.21439 · cs.AI+2 · submitted 2024-07-31 · explained 2026-08-20
  MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
  Zhanpeng Chen, Chengjin Xu, Yiyan Qi, et al.
• arXiv:2406.04770 · cs.CL+1 · submitted 2024-06-07 · explained 2026-08-20
  WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
  Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.
• arXiv:2404.14986 · cs.LG+1 · submitted 2024-04-23 · explained 2026-08-20
  MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
  Kerstin Kläser, Błażej Banaszewski, Samuel Maddrell-Mander, et al.
• arXiv:2402.07033 · cs.LG+3 · submitted 2024-02-10 · explained 2026-08-20
  Fiddler: CPU-GPU Orchestration for Inference of Mixture-of-Experts Models
  Keisuke Kamahori, Tian Tang, Yile Gu, et al.
• arXiv:2401.13919 · cs.CL+1 · submitted 2024-01-25 · explained 2026-08-20
  WebVoyager [width=0.04]figures/emoji/v2.png: Building an End-to-End Web Agent with Large Multimodal Models
  Hongliang He, Wenlin Yao, Kaixin Ma, et al.
• arXiv:2401.10935 · cs.HC+1 · submitted 2024-01-17 · explained 2026-08-20
  [scale=.08, valign=c]figures/robot.png SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
  Kanzhi Cheng, Qiushi Sun, Yougang Chu, et al.
• arXiv:2311.06233 · cs.CL+2 · submitted 2023-11-10 · explained 2026-08-20
  Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models
  Shahriar Golchin, Mihai Surdeanu
• arXiv:2310.01334 · cs.LG+2 · submitted 2023-10-02 · explained 2026-08-20
  Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
  Pingzhi Li, Zhenyu Zhang, Prateek Yadav, et al.
• arXiv:2309.07200 · cs.LG+2 · submitted 2023-09-13 · explained 2026-08-20
  Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
  Marco Federici, Patrick Forré, Ryota Tomioka, et al.