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)

12,121 to 12,180 of 15,448

DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use
Aili Chen, Chi Zhang, Junteng Liu +11
cs.AIcs.SEarXiv:2603.11076v12026
On Distillation of Guided Diffusion Models
Chenlin Meng, Robin Rombach, Ruiqi Gao +4
cs.CVcs.AIcs.LGarXiv:2210.03142v32022
Brevity Constraints Reverse Performance Hierarchies in Language Models
MD Azizul Hakim
cs.CLcs.AIarXiv:2604.00025v12026
TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
Alliot Nagle, Jakhongir Saydaliev, Dhia Garbaya +3
cs.LGcs.AIcs.CLarXiv:2603.12529v22026
TinyLlama: An Open-Source Small Language Model
Peiyuan Zhang, Guangtao Zeng, Tianduo Wang +1
cs.CLcs.AIarXiv:2401.02385v22024
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor, Jonathan Berant
cs.CLcs.AIcs.LGarXiv:1803.06643v12018
PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors
Nathan Duboisset, Zhaolan Huang, Felix Bießmann +3
cs.LGcs.AIarXiv:2608.23101v12026
Trust in AI and Its Role in the Acceptance of AI Technologies
Hyesun Choung, Prabu David, Arun Ross
cs.AIcs.HCarXiv:2203.12687v12022
Future Querying: Can LLMs Serve as Implicit Medical World Models?
Siri Willems, James Butterworth, Lore Goetschalckx +4
cs.CLcs.AIarXiv:2608.23248v12026
Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models
Haitao Jiang, Wenbo Zhang, Jiarui Yao +3
cs.AIcs.CLarXiv:2603.13985v12026
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
Ziwen Xu, Chenyan Wu, Hengyu Sun +9
cs.CLcs.AIcs.CVarXiv:2602.02343v32026
MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
Shengyuan Liu, Liuxin Bao, Qi Yang +6
cs.CVcs.AIarXiv:2602.03320v12026
Automated Construction of FAIR Digital Object Knowledge Graphs from Flat Cultural Heritage Records
Zeyd Boukhers, Lingxiao Kong, Xenophon Zabulis +1
cs.AIcs.CLcs.DLarXiv:2608.23263v12026
Learning Representations for Counterfactual Inference
Fredrik D. Johansson, Uri Shalit, David Sontag
stat.MLcs.AIcs.LGarXiv:1605.03661v32016
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Zhuochun Li, Yong Zhang, Ming Li +8
cs.CLcs.AIcs.LGarXiv:2601.22588v22026
SnapKV: LLM Knows What You are Looking for Before Generation
Yuhong Li, Yingbing Huang, Bowen Yang +6
cs.CLcs.AIarXiv:2404.14469v22024
RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment
Yuecheng Li, Hengwei Ju, Zeyu Song +4
cs.IRcs.AIarXiv:2602.00682v22026
SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning
Caijun Xu, Changyi Xiao, Zhongyuan Peng +2
cs.AIarXiv:2601.04809v52026
SafePred: A Predictive Guardrail for Computer-Using Agents via World Models
Yurun Chen, Zeyi Liao, Ping Yin +3
cs.CLcs.AIcs.LGarXiv:2602.01725v12026
Manipulating and Measuring Model Interpretability
Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman +2
cs.AIcs.CYarXiv:1802.07810v52018
From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation
Yibin Liu, Yaxing Lyu, Daqi Gao +5
cs.ROcs.AIcs.CLarXiv:2603.15600v22026
IQuest-Coder-V1 Technical Report
Jian Yang, Wei Zhang, Shawn Guo +35
cs.AIcs.CLcs.SEarXiv:2603.16733v12026
A Survey of Multi-Objective Sequential Decision-Making
Diederik Marijn Roijers, Peter Vamplew, Shimon Whiteson +1
cs.AIarXiv:1402.0590v12014
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Zhibin Gou, Zhihong Shao, Yeyun Gong +4
cs.CLcs.AIarXiv:2305.11738v42023
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
Xinwu Ye, Yicheng Mao, Yuxuan Liao +16
physics.chem-phcs.AIcs.CLarXiv:2602.07075v62026
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng, Lianmin Zheng, Binhang Yuan +11
cs.LGcs.AIcs.PFarXiv:2303.06865v22023
Coarse-Guided Visual Generation via Weighted h-Transform Sampling
Yanghao Wang, Ziqi Jiang, Zhen Wang +1
cs.CVcs.AIarXiv:2603.12057v22026
HERO: Human-profile Enhanced Retrieval Optimization Framework for Long-term Agent Memory
Yuanhua Lin, Yile Li, Zhiyuan Zhao +2
cs.AIarXiv:2608.22310v12026
Clarify User Expertise: Towards Proactive Conversational Agents Tailoring Responses to User Proficiency
Zhihong Cao, Chen Huang
cs.AIcs.CLarXiv:2608.22266v12026
Read Less, Solve More: Token-Efficient Sparse Reading for AI Agents
Zedong Liu, Jiaan Wu, Xinyang Ma +5
cs.AIarXiv:2608.22237v12026
Beyond What Meets the Eye: Unveiling Situational Illusions for Multimodal Large Language Models
Zhiming Yang, Zhuoxi Xiong, Donglin Zhou +3
cs.AIcs.CLcs.CVarXiv:2608.22232v12026
Query-Driven Multimodal Information Extraction from Long Documents
Yikai Gao, Ding Xia, Xi Yang
cs.AIcs.MMarXiv:2608.22214v12026
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan, Solon Barocas, Jon Kleinberg +1
cs.CYcs.AIcs.LGarXiv:1906.09208v32019
BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs
Sangyeon Yoon, Sunkyoung Kim, Hyesoo Hong +5
cs.AIcs.CLarXiv:2603.16557v12026
Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation
Zhiqi Yu, Zhangquan Chen, Mengting Liu +2
cs.LGcs.AIarXiv:2602.05548v32026
Disagree to Explore, Agree to Commit: Routing-Guided Test-Time Scaling for Software Agents
Kang Chen, Junjie Nian, Yixin Cao +1
cs.AIcs.SEarXiv:2608.22191v12026
Anticipatory Planning for Multimodal AI Agents
Yongyuan Liang, Shijie Zhou, Yu Gu +6
cs.AIarXiv:2603.16777v12026
Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction
Jun Hou, Yi Fang, Xuan Wang
cs.AIcs.LGarXiv:2608.22176v12026
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models
Daniel Hennes, Zun Li, John Schultz +1
cs.GTcs.AIcs.LGarXiv:2603.10098v12026
MCP-Universe RL: A Framework for Training MCP Tool-Use Agents via Reinforcement Learning
Ziyang Luo, Yan Yang, Xiangru Jian +5
cs.AIcs.LGarXiv:2608.22167v12026
Small Language Model enabled Autonomous agent for Language-Conditioned Cognitive Radar
Minhaj Uddin Ahmad, Zakia Zaman, Shunqiao Sun +1
eess.SPcs.AIeess.SYarXiv:2608.11596v12026
Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts
Chen Yang, Guangyue Peng, Jiaying Zhu +12
cs.AIcs.CLarXiv:2602.13367v12026
Task-Driven 3D Printability Assistance via Geometry- and Knowledge-Grounded LLM Reasoning
Zhaoda Du, Qiaojie Zheng, Xiaoli Zhang
cs.AIarXiv:2608.22128v12026
Evaluation of Small Vision-Language Models on Qualitative Mechanical Problems
Henry Fordjour Ansah, Shreya Banerjee, Pranish Ghimire
cs.AIarXiv:2608.22143v12026
Aggregation-Aware Synthetic Text Generation Against Authorship Re-Identification
Qian Ma, Anna Squicciarini, Sarah Rajtmajer
cs.AIcs.CLarXiv:2608.22161v12026
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments
Hansen Jin Lillemark, Benhao Huang, Fangneng Zhan +2
cs.LGcs.AIcs.CVarXiv:2601.01075v22026
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall +3
cs.CVcs.AIcs.GRarXiv:2112.00724v12021
BrowseComp-$V^3$: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents
Huanyao Zhang, Jiepeng Zhou, Bo Li +22
cs.AIarXiv:2602.12876v22026
Vega: Learning to Drive with Natural Language Instructions
Sicheng Zuo, Yuxuan Li, Wenzhao Zheng +3
cs.CVcs.AIcs.ROarXiv:2603.25741v22026
GISA: A Benchmark for General Information-Seeking Assistant
Yutao Zhu, Xingshuo Zhang, Maosen Zhang +9
cs.CLcs.AIcs.IRarXiv:2602.08543v22026
Mixture-of-Experts with Expert Choice Routing
Yanqi Zhou, Tao Lei, Hanxiao Liu +7
cs.LGcs.AIarXiv:2202.09368v22022
Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
Sein Kim, Sangwu Park, Hongseok Kang +6
cs.IRcs.AIarXiv:2602.12612v22026
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu, Hao Fei, Leigang Qu +2
cs.AIcs.CLcs.LGarXiv:2309.05519v32023
AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systems
Zhixu Du, Yiran Chen
cs.AIarXiv:2608.22160v12026
The many Shapley values for model explanation
Mukund Sundararajan, Amir Najmi
cs.AIcs.LGecon.THarXiv:1908.08474v22019
The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
Zanlin Ni, Shenzhi Wang, Yang Yue +8
cs.CLcs.AIcs.LGarXiv:2601.15165v42026
Measuring Stability and Failure Behavior in Language Models Under Structured Perturbations
Samira Golsefid
cs.AIcs.CLarXiv:2608.22138v12026
The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context
Xiaoyuan Liu, Tian Liang, Dongyang Ma +4
cs.AIarXiv:2602.12108v12026
MEMONDEMAND: A Memory Management System for Large-Scale Enterprise Data
Xinyuan Song, Bowen Zhu, Hasibul Haque +1
cs.AIarXiv:2608.22141v12026
MegaMem: A Retrieval Solution for Ultra-Large Context Windows
Xinyuan Song, Bowen Zhu, Hasibul Haque +1
cs.AIarXiv:2608.22137v12026

Artificial Intelligence

DIVE: Scaling Diversity in Agentic Task Synthesis for Generalizable Tool Use

On Distillation of Guided Diffusion Models

Brevity Constraints Reverse Performance Hierarchies in Language Models

TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning

TinyLlama: An Open-Source Small Language Model

The Web as a Knowledge-base for Answering Complex Questions

PolyChirp: Multi-Species Birdsong Classification Using TinyML on Low-Power Acoustic Sensors

Trust in AI and Its Role in the Acceptance of AI Technologies

Future Querying: Can LLMs Serve as Implicit Medical World Models?

Supervised Fine-Tuning versus Reinforcement Learning: A Study of Post-Training Methods for Large Language Models

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

Automated Construction of FAIR Digital Object Knowledge Graphs from Flat Cultural Heritage Records

Learning Representations for Counterfactual Inference

Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry

SnapKV: LLM Knows What You are Looking for Before Generation

RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning

SafePred: A Predictive Guardrail for Computer-Using Agents via World Models

Manipulating and Measuring Model Interpretability

From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation

IQuest-Coder-V1 Technical Report

A Survey of Multi-Objective Sequential Decision-Making

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

Coarse-Guided Visual Generation via Weighted h-Transform Sampling

HERO: Human-profile Enhanced Retrieval Optimization Framework for Long-term Agent Memory

Clarify User Expertise: Towards Proactive Conversational Agents Tailoring Responses to User Proficiency

Read Less, Solve More: Token-Efficient Sparse Reading for AI Agents

Beyond What Meets the Eye: Unveiling Situational Illusions for Multimodal Large Language Models

Query-Driven Multimodal Information Extraction from Long Documents

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

BenchPreS: A Benchmark for Context-Aware Personalized Preference Selectivity of Persistent-Memory LLMs

Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation

Disagree to Explore, Agree to Commit: Routing-Guided Test-Time Scaling for Software Agents

Anticipatory Planning for Multimodal AI Agents

Role-Specialized Mixture-of-Agents with Open-Weight LLMs for Clinical Prediction

Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models

MCP-Universe RL: A Framework for Training MCP Tool-Use Agents via Reinforcement Learning

Small Language Model enabled Autonomous agent for Language-Conditioned Cognitive Radar

Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts

Task-Driven 3D Printability Assistance via Geometry- and Knowledge-Grounded LLM Reasoning

Evaluation of Small Vision-Language Models on Qualitative Mechanical Problems

Aggregation-Aware Synthetic Text Generation Against Authorship Re-Identification

Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs

BrowseComp-$V^3$: A Visual, Vertical, and Verifiable Benchmark for Multimodal Browsing Agents

Vega: Learning to Drive with Natural Language Instructions

GISA: A Benchmark for General Information-Seeking Assistant

Mixture-of-Experts with Expert Choice Routing

Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback

NExT-GPT: Any-to-Any Multimodal LLM

AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systems

The many Shapley values for model explanation

The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

Measuring Stability and Failure Behavior in Language Models Under Structured Perturbations

The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context

MEMONDEMAND: A Memory Management System for Large-Scale Enterprise Data

MegaMem: A Retrieval Solution for Ultra-Large Context Windows