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.

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21,661 to 21,720 of 27,520

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive
Arka Pal, Deep Karkhanis, Samuel Dooley +3
cs.CLcs.AIcs.LGarXiv:2402.13228v22024
X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System
Yuxiang Zhao, Yichi Zhang, Yanjie An +10
eess.AScs.AIarXiv:2607.17544v12026
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
Luke Melas-Kyriazi, Arjun K. Manrai
cs.CVcs.AIarXiv:2105.08128v12021
Multi-Pointer Co-Attention Networks for Recommendation
Yi Tay, Luu Anh Tuan, Siu Cheung Hui
cs.CLcs.AIcs.IRarXiv:1801.09251v22018
Deep Recurrent Generative Decoder for Abstractive Text Summarization
Piji Li, Wai Lam, Lidong Bing +1
cs.CLcs.AIarXiv:1708.00625v12017
NovGauge: A Fine-Grained Benchmark for Diagnosing LLMs' Capability in Paper Novelty Assessment
Guoqiang Zhang, Kexin Tan, Ming Zhang +12
cs.AIarXiv:2609.11234v12026
ChatDev 2.0: A No-Code Multi-Agent Platform for Developing Everything
Yufan Dang, Shu Yao, Bowen Lai +6
cs.AIcs.CLcs.MAarXiv:2609.00714v12026
Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains
Yangchen Pan, Muhammad Zaheer, Adam White +2
cs.AIarXiv:1806.04624v12018
FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution
Hui Chen, Xuan Qi, James Xu Zhao +5
cs.NEcs.AIcs.CLarXiv:2610.03675v12026
Penalizing side effects using stepwise relative reachability
Victoria Krakovna, Laurent Orseau, Ramana Kumar +2
cs.LGcs.AIstat.MLarXiv:1806.01186v22018
OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation
Letian Zhang, Sucheng Ren, Yanqing Liu +9
eess.IVcs.AIarXiv:2601.15369v22026
The Elements of Differentiable Programming
Mathieu Blondel, Vincent Roulet
cs.LGcs.AIcs.PLarXiv:2403.14606v42024
Private PAC learning implies finite Littlestone dimension
Noga Alon, Roi Livni, Maryanthe Malliaris +1
cs.LGcs.AIcs.CRarXiv:1806.00949v32018
Language Models with Conformal Factuality Guarantees
Christopher Mohri, Tatsunori Hashimoto
cs.LGcs.AIcs.CLarXiv:2402.10978v12024
ROI-Reasoning: Rational Optimization for Inference via Pre-Computation Meta-Cognition
Muyang Zhao, Qi Qi, Hao Sun
cs.AIarXiv:2601.03822v12026
Continuous Learning of Gravity Field Irregularities Around Small Bodies via Neural Hamiltonian ODEs
Giacomo Acciarini, Dario Izzo
astro-ph.IMastro-ph.EPcs.AIarXiv:2609.12022v12026
Show-Harness: Just a VLM Agent Can Play Robots
Yanzhe Chen, Zechen Bai, Zhijun Cao +7
cs.ROcs.AIcs.CVarXiv:2609.10522v12026
SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control
Zhengyi Luo, Ye Yuan, Tingwu Wang +25
cs.ROcs.AIcs.CVarXiv:2511.07820v42025
A Review on Explainability in Multimodal Deep Neural Nets
Gargi Joshi, Rahee Walambe, Ketan Kotecha
cs.AIcs.CVarXiv:2105.07878v22021
RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models
Greg Heinrich, Mike Ranzinger, Hongxu +6
cs.CVcs.AIarXiv:2412.07679v22024
Table-to-Text: Describing Table Region with Natural Language
Junwei Bao, Duyu Tang, Nan Duan +4
cs.CLcs.AIarXiv:1805.11234v12018
Improving LLM Group Fairness on Tabular Data via In-Context Learning
Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar +4
cs.LGcs.AIarXiv:2412.04642v12024
Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization
Anmol Agarwal, Natalie Neamtu, Pranjal Aggarwal +6
cs.SEcs.AIcs.CLarXiv:2605.26457v12026
Establishing Task Scaling Laws via Compute-Efficient Model Ladders
Akshita Bhagia, Jiacheng Liu, Alexander Wettig +9
cs.CLcs.AIarXiv:2412.04403v22024
Detect and Suppress: A Mechanistic Defense against Adversarial Patches in VLA Models
Yukiya Horiba, Koshiro Aoki, Shunsuke Yasuki +2
cs.ROcs.AIarXiv:2610.03498v12026
ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization
Kourosh Darvish, Marta Skreta, Yuchi Zhao +9
cs.ROcs.AIarXiv:2401.06949v22024
Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces
Shreyas Rajesh, Pavan Holur, Chenda Duan +2
cs.AIcs.CLarXiv:2511.07587v22025
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
Zhen Guo, Adriana Meza Soria, Wei Sun +2
cs.CLcs.AIcs.LGarXiv:2402.09615v62024
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou, Yuan Cao, Dongruo Zhou +1
cs.LGcs.AImath.OCarXiv:1811.08888v32018
LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset
Botao Yu, Frazier N. Baker, Ziqi Chen +2
cs.AIcs.CEcs.CLarXiv:2402.09391v42024
Preserving Anatomical Continuity: Three-Stage Pipeline for Colon Segmentation in 3D Abdominal CT Scans
Deshan Kalupahana, Sonit Singh, Praveen Ravindran +1
cs.CVcs.AIarXiv:2610.03467v12026
Distributed Reasoning in a Peer-to-Peer Setting: Application to the Semantic Web
P. Adjiman, P. Chatalic, F. Goasdoue +2
cs.AIarXiv:1109.5716v12011
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen, Yuandong Tian
cs.LGcs.AIstat.MLarXiv:1810.00337v52018
Harness or Model? Isolating the Harness Effect in Agentic Coding with a Contamination-Controlled Private Suite
Mohsen Arjmandi
cs.AIcs.CLcs.SEarXiv:2609.11987v12026
A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization
Ming Chen, Rong-Xi Tan, Ke Xue +8
cs.LGcs.AIcs.NEarXiv:2610.12183v12026
CAFE: Self-Improving Search Agents Need Co-Evolving Feedback
Boyang Liu, Senjie Jin, Peixin Wang +15
cs.AIarXiv:2608.24794v12026
HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation
Yihao Fang, Stephen W. Thomas, Xiaodan Zhu
cs.AIcs.CLarXiv:2402.09390v22024
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
Fengbin Zhu, Wenqiang Lei, Youcheng Huang +5
cs.CLcs.AIarXiv:2105.07624v22021
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
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability
Zicheng Lin, Tian Liang, Jiahao Xu +7
cs.CLcs.AIcs.LGarXiv:2411.19943v32024
OptiSelect: How does the Optimizer Shape Data Curriculum?
Simin Fan, Alireza Abdollahpoorrostam, Martin Jaggi
cs.LGcs.AIarXiv:2610.03432v12026
Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI
Zhihua Duan, Jialin Wang
cs.MAcs.AIarXiv:2411.18241v12024
Let's Have a Conversation: Designing and Evaluating LLM Agents for Interactive Optimization
Joshua Drossman, Alexandre Jacquillat, Sébastien Martin
cs.AImath.OCarXiv:2604.02666v12026
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
Qianhui Wu, Kanzhi Cheng, Rui Yang +15
cs.CLcs.AIcs.CVarXiv:2506.03143v12025
Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal, Tim Miller, Liz Sonenberg +1
cs.LGcs.AIcs.HCarXiv:1905.10958v22019
Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design
Junhua Liu, Fanfan Lin, Xinze Li +2
cs.AIcs.ETarXiv:2411.14214v22024
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang, Richard Liaw, Philipp Moritz +6
cs.AIcs.DCcs.LGarXiv:1712.09381v42017
Public-Sharing Labels and Verbatim Field Egress in an MCP-to-A2A Agent Configuration: A Controlled Multi-Model Study
Arpan Kumar Mahapatra
cs.CRcs.AIarXiv:2609.01693v12026
Learning to Cooperate with Humans using Generative Agents
Yancheng Liang, Daphne Chen, Abhishek Gupta +2
cs.LGcs.AIcs.MAarXiv:2411.13934v12024
Graded Causation and Defaults
Joseph Y. Halpern, Christopher Hitchcock
cs.AIarXiv:1309.1226v12013
Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows
Jorge García-Carrasco, Javier Sanchis, Alejandro Reina-Reina +2
cs.SEcs.AIcs.DBarXiv:2610.11482v12026
Maximum Resilience of Artificial Neural Networks
Chih-Hong Cheng, Georg Nührenberg, Harald Ruess
cs.LGcs.AIcs.LOarXiv:1705.01040v22017
Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM
Dingjie Song, Sicheng Lai, Mingxuan Wang +3
cs.CVcs.AIcs.CLarXiv:2411.03823v32024
On Adversarial Examples for Character-Level Neural Machine Translation
Javid Ebrahimi, Daniel Lowd, Dejing Dou
cs.CLcs.AIarXiv:1806.09030v12018
AI Hallucinations: A Misnomer Worth Clarifying
Negar Maleki, Balaji Padmanabhan, Kaushik Dutta
cs.CLcs.AIarXiv:2401.06796v12024
HXAI: Hierarchical Privacy-Preserving Explainable AI in Distributed Energy Systems
Poushali Sengupta, Sabita Maharjan, Frank Eliassen +1
cs.AIarXiv:2610.02504v12026
Vidar: Embodied Video Diffusion Model for Generalist Manipulation
Yao Feng, Hengkai Tan, Xinyi Mao +5
cs.LGcs.AIcs.CVarXiv:2507.12898v42025
Memory Efficient Experience Replay for Streaming Learning
Tyler L. Hayes, Nathan D. Cahill, Christopher Kanan
cs.LGcs.AIstat.MLarXiv:1809.05922v22018
PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages
Daryna Dementieva, Nikolay Babakov, Kathy Hämmerl +14
cs.CLcs.AIarXiv:2607.05992v12026
DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving
Yuhan Liu, Yuyang Huang, Jiayi Yao +9
cs.MAcs.AIcs.CLarXiv:2411.02820v42024

Artificial Intelligence

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

X-Translator: A Real-Time Multilingual Speaker-Aware Speech-to-Speech Translation System

PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training

Multi-Pointer Co-Attention Networks for Recommendation

Deep Recurrent Generative Decoder for Abstractive Text Summarization

NovGauge: A Fine-Grained Benchmark for Diagnosing LLMs' Capability in Paper Novelty Assessment

ChatDev 2.0: A No-Code Multi-Agent Platform for Developing Everything

Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains

FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution

Penalizing side effects using stepwise relative reachability

OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation

The Elements of Differentiable Programming

Private PAC learning implies finite Littlestone dimension

Language Models with Conformal Factuality Guarantees

ROI-Reasoning: Rational Optimization for Inference via Pre-Computation Meta-Cognition

Continuous Learning of Gravity Field Irregularities Around Small Bodies via Neural Hamiltonian ODEs

Show-Harness: Just a VLM Agent Can Play Robots

SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control

A Review on Explainability in Multimodal Deep Neural Nets

RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models

Table-to-Text: Describing Table Region with Natural Language

Improving LLM Group Fairness on Tabular Data via In-Context Learning

Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization

Establishing Task Scaling Laws via Compute-Efficient Model Ladders

Detect and Suppress: A Mechanistic Defense against Adversarial Patches in VLA Models

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization

Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

API Pack: A Massive Multi-Programming Language Dataset for API Call Generation

Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks

LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset

Preserving Anatomical Continuity: Three-Stage Pipeline for Colon Segmentation in 3D Abdominal CT Scans

Distributed Reasoning in a Peer-to-Peer Setting: Application to the Semantic Web

Learning to Perform Local Rewriting for Combinatorial Optimization

Harness or Model? Isolating the Harness Effect in Agentic Coding with a Contamination-Controlled Private Suite

A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box Optimization

CAFE: Self-Improving Search Agents Need Co-Evolving Feedback

HGOT: Hierarchical Graph of Thoughts for Retrieval-Augmented In-Context Learning in Factuality Evaluation

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

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

Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability

OptiSelect: How does the Optimizer Shape Data Curriculum?

Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI

Let's Have a Conversation: Designing and Evaluating LLM Agents for Interactive Optimization

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents

Explainable Reinforcement Learning Through a Causal Lens

Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design

RLlib: Abstractions for Distributed Reinforcement Learning

Public-Sharing Labels and Verbatim Field Egress in an MCP-to-A2A Agent Configuration: A Controlled Multi-Model Study

Learning to Cooperate with Humans using Generative Agents

Graded Causation and Defaults

Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows

Maximum Resilience of Artificial Neural Networks

Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM

On Adversarial Examples for Character-Level Neural Machine Translation

AI Hallucinations: A Misnomer Worth Clarifying

HXAI: Hierarchical Privacy-Preserving Explainable AI in Distributed Energy Systems

Vidar: Embodied Video Diffusion Model for Generalist Manipulation

Memory Efficient Experience Replay for Streaming Learning

PluraMath: Extending Mathematical Reasoning Evaluation Beyond High-Resource Languages

DroidSpeak: KV Cache Sharing for Cross-LLM Communication and Multi-LLM Serving