Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

Search paper metadata (including unsummarized papers)

15,721 to 15,780 of 28,252

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement
Hong Su
cs.AIcs.CLcs.LGarXiv:2508.04289v22025
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu, Yue Dong, Laurent Charlin
cs.CLcs.AIarXiv:2010.14235v12020
Spatial Induction Heads: In-Context Learning of Multidimensional Cellular Automata
Kimia Kazemian, Menghan Xu, John Thickstun +1
cs.LGcs.AIarXiv:2610.09124v12026
REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction
Zeyi Liu, Arpit Bahety, Shuran Song
cs.ROcs.AIcs.CLarXiv:2306.15724v42023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
Shanshan Han, Baturalp Buyukates, Zijian Hu +13
cs.CRcs.AIarXiv:2306.04959v52023
Rating the Raters: Rasch Measurement Theory for LLM Evaluation
Pratik S. Sachdeva, Nathan Boudol
cs.AIarXiv:2608.27463v12026
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
Siyi Zhou, Yiquan Zhou, Yi He +4
cs.CLcs.AIcs.SDarXiv:2506.21619v22025
PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us
Gal Sapir, Alon Diament, Adva Wolf +7
cs.LGcs.AIarXiv:2609.06080v22026
Training Alignment Auditors via Reinforcement Learning
Paul Rosu, Rowan Wang
cs.AIcs.LGarXiv:2608.25460v12026
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Yushan Liu, Yunpu Ma, Marcel Hildebrandt +2
cs.LGcs.AIarXiv:2112.08025v22021
Xiaomi-GUI-0 Technical Report
Wanxia Cao, Chengzhen Duan, Pei Fu +29
cs.AIarXiv:2606.31410v22026
Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents
Yue Liu, Sin Kit Lo, Qinghua Lu +5
cs.AIcs.SEarXiv:2405.10467v42024
Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey
Roxana Rădulescu, Patrick Mannion, Diederik M. Roijers +1
cs.MAcs.AIcs.LGarXiv:1909.02964v12019
VideoHarness-RSI: Recursive Harness Self-Improvement for Long-Video Understanding with Frozen Vision-Language Models
Guoyang Xu, Hao Chen
cs.AIarXiv:2608.24302v12026
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Kaiyu Yang, Aidan M. Swope, Alex Gu +6
cs.LGcs.AIcs.LOarXiv:2306.15626v22023
WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence
Jiawei Shao, Jingwen Tong, Qiong Wu +4
cs.NIcs.AIcs.LGarXiv:2405.17053v22024
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel, Nazneen Rajani, Jesse Vig +6
cs.CLcs.AIcs.LGarXiv:2101.04840v12021
When to Trust the Cheap Check: Weak and Strong Verification for Reasoning
Shayan Kiyani, Sima Noorani, George Pappas +1
cs.LGcs.AIstat.MLarXiv:2602.17633v12026
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang, Bingyi Kang, Jie Shao +1
cs.LGcs.AIstat.MLarXiv:2010.10814v12020
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models
Yuzhang Shang, Mu Cai, Bingxin Xu +2
cs.CVcs.AIcs.CLarXiv:2403.15388v62024
Deflanderization for Game Dialogue: Balancing Character Authenticity with Task Execution in LLM-based NPCs
Pasin Buakhaw, Kun Kerdthaisong, Phuree Phenhiran +4
cs.CLcs.AIarXiv:2510.13586v32025
VQQA: An Agentic Approach for Video Evaluation and Quality Improvement
Yiwen Song, Tomas Pfister, Yale Song
cs.CVcs.AIcs.LGarXiv:2603.12310v12026
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM
Mingrui Li, Shuhong Liu, Heng Zhou +4
cs.CVcs.AIcs.ROarXiv:2402.03246v62024
DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts
Vlad Hondru, Florinel Alin Croitoru, Iuliana Georgescu +2
cs.CVcs.AIcs.LGarXiv:2608.23363v12026
Hidden Dynamics of Massive Activations in Transformer Training
Jorge Gallego-Feliciano, S. Aaron McClendon, Juan Morinelli +2
cs.AIarXiv:2508.03616v22025
Resource Allocation for Stable LLM Training in Mobile Edge Computing
Chang Liu, Jun Zhao
cs.DCcs.AIcs.ITarXiv:2409.20247v12024
Identifying User Goals from UI Trajectories
Omri Berkovitch, Sapir Caduri, Noam Kahlon +3
cs.CLcs.AIarXiv:2406.14314v32024
HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents
Qianchu Liu, Sheng Zhang, Guanghui Qin +16
cs.AIcs.CLcs.CVarXiv:2606.31179v12026
Summaries:한국어
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
Yuexiang Zhai, Hao Bai, Zipeng Lin +8
cs.AIcs.CLcs.CVarXiv:2405.10292v32024
Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
Wen Zhang, Bibek Paudel, Liang Wang +5
cs.AIcs.CLarXiv:1903.08948v12019
The Emergence of Relevance Through Axiomatic Attention Patterns During LoRA Fine-Tuning
Matthew Perlman, Atharva Nijasure, James Allan
cs.CLcs.AIcs.IRarXiv:2608.23338v12026
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Bingchen Liu, Yizhe Zhu, Kunpeng Song +1
cs.CVcs.AIarXiv:2101.04775v12021
Quantization Amplifies Determinism, Not Bias: Scale-Dependent Behavioral Effects of Serving-Time Weight Compression
Dachi Kurtskhalia
cs.AIarXiv:2609.07901v12026
M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought
Qiguang Chen, Libo Qin, Jin Zhang +3
cs.CVcs.AIcs.CLarXiv:2405.16473v12024
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
Harsh Trivedi, Tushar Khot, Mareike Hartmann +6
cs.SEcs.AIcs.CLarXiv:2407.18901v12024
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices
Siwei Zhang, Qianli Ma, Yan Zhang +5
cs.CVcs.AIarXiv:2112.07642v32021
TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex
Yuliang Yan, Shuo Yan, Haochun Tang +2
cs.LGcs.AIarXiv:2607.22143v22026
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review
Lixiang Yan, Lele Sha, Linxuan Zhao +6
cs.CLcs.AIcs.CYarXiv:2303.13379v22023
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
Jaemin Cho, Abhay Zala, Mohit Bansal
cs.CVcs.AIcs.CLarXiv:2202.04053v32022
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano +5
cs.CLcs.AIcs.LGarXiv:2406.13805v12024
Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks
Qihua Dong, Kuo Yang, Lin Ju +6
cs.CVcs.AIcs.CLarXiv:2602.23898v12026
Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learning
Junru Song, Yang Yang, Yaqing Xu +5
cs.ROcs.AIarXiv:2608.23100v12026
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo +5
cs.LGcs.AIcs.CEarXiv:2405.09783v12024
DOPD: Dual On-policy Distillation
Xinlei Yu, Gen Li, Qingyi Si +13
cs.AIarXiv:2606.30626v12026
CAPO: Towards Enhancing LLM Reasoning through Generative Credit Assignment
Guofu Xie, Yunsheng Shi, Hongtao Tian +2
cs.LGcs.AIcs.CLarXiv:2508.02298v42025
LLM-based Agents for Forecasting and Prediction: Methods, Training, Evaluation, and Applications
Xiaogang Xu, Jiaqi Tang, Jianmin Chen +12
cs.AIarXiv:2608.23058v12026
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Ryan Turner, David Eriksson, Michael McCourt +4
cs.LGcs.AIstat.MLarXiv:2104.10201v22021
BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation
Minchong Li, Feng Zhou, Xiaohui Song
cs.CLcs.AIarXiv:2406.13555v32024
FedCC: Towards Addressing Label Distribution Skews in Distillation-Based Federated Learning
Wenxuan Ye, Onur Ayan, Xueli An +1
cs.LGcs.AIarXiv:2608.23031v12026
Artificial Empathy: Towards a Framework for Unsupervised Agency Detection and Policy Reconstruction
Peter Kuhn, Chris Pang, Sonakshi Chauhan
cs.AIarXiv:2608.23030v12026
SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents
Jiaye Lin, Yifu Guo, Yuzhen Han +11
cs.AIarXiv:2508.02085v62025
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Jianfei Li, Ruigang Zheng, Han Feng +2
cs.LGcs.AIcs.SIarXiv:2306.04265v32023
FinixDoc: Rethinking Financial Document Parsing Beyond Saturated Benchmarks
Hang Wang, Jin Zhang, Guoliang Xu +13
cs.AIarXiv:2608.22842v12026
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation
Laurel Orr, Megan Leszczynski, Simran Arora +4
cs.CLcs.AIcs.LGarXiv:2010.10363v32020
Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
Yixin Liu, Yue Yu, DiJia Su +7
cs.AIcs.CLcs.LGarXiv:2603.12246v12026
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
stat.MLcs.AIcs.LGarXiv:1806.07297v12018
Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization
Manh Duong Phung, Quang Phuc Ha
cs.NEcs.AIcs.ROarXiv:2104.10033v12021
PhaseShift: Topology-Aware Data Harmonization and Model Consolidation Across Signalized Intersections
Yash Ranjan, Artur Kumik, Rahul Sengupta +2
cs.AIcs.ROarXiv:2608.25275v12026
Predicting Positive and Negative Links in Online Social Networks
Jure Leskovec, Daniel Huttenlocher, Jon Kleinberg
physics.soc-phcs.AIcs.CYarXiv:1003.2429v12010
KernelBench: Can LLMs Write Efficient GPU Kernels?
Anne Ouyang, Simon Guo, Simran Arora +4
cs.LGcs.AIcs.PFarXiv:2502.10517v12025

Artificial Intelligence

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles

Spatial Induction Heads: In-Context Learning of Multidimensional Cellular Automata

REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction

FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs

Rating the Raters: Rasch Measurement Theory for LLM Evaluation

IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech

PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us

Training Alignment Auditors via Reinforcement Learning

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

Xiaomi-GUI-0 Technical Report

Agent Design Pattern Catalogue: A Collection of Architectural Patterns for Foundation Model based Agents

Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey

VideoHarness-RSI: Recursive Harness Self-Improvement for Long-Video Understanding with Frozen Vision-Language Models

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence

Robustness Gym: Unifying the NLP Evaluation Landscape

When to Trust the Cheap Check: Weak and Strong Verification for Reasoning

Improving Generalization in Reinforcement Learning with Mixture Regularization

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models

Deflanderization for Game Dialogue: Balancing Character Authenticity with Task Execution in LLM-based NPCs

VQQA: An Agentic Approach for Video Evaluation and Quality Improvement

SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM

DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts

Hidden Dynamics of Massive Activations in Transformer Training

Resource Allocation for Stable LLM Training in Mobile Edge Computing

Identifying User Goals from UI Trajectories

HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

The Emergence of Relevance Through Axiomatic Attention Patterns During LoRA Fine-Tuning

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

Quantization Amplifies Determinism, Not Bias: Scale-Dependent Behavioral Effects of Serving-Time Weight Compression

M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices

TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex

Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia

Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks

Shaping the Evolutionary Dynamics of Robot Morphology via Adaptive Control Learning

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery

DOPD: Dual On-policy Distillation

CAPO: Towards Enhancing LLM Reasoning through Generative Credit Assignment

LLM-based Agents for Forecasting and Prediction: Methods, Training, Evaluation, and Applications

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation

FedCC: Towards Addressing Label Distribution Skews in Distillation-Based Federated Learning

Artificial Empathy: Towards a Framework for Unsupervised Agency Detection and Policy Reconstruction

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents

Permutation Equivariant Graph Framelets for Heterophilous Graph Learning

FinixDoc: Rethinking Financial Document Parsing Beyond Saturated Benchmarks

Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation

Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training

Canonical Tensor Decomposition for Knowledge Base Completion

Safety-enhanced UAV Path Planning with Spherical Vector-based Particle Swarm Optimization

PhaseShift: Topology-Aware Data Harmonization and Model Consolidation Across Signalized Intersections

Predicting Positive and Negative Links in Online Social Networks

KernelBench: Can LLMs Write Efficient GPU Kernels?