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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22,621 to 22,680 of 27,328

LooGLE: Can Long-Context Language Models Understand Long Contexts?
Jiaqi Li, Mengmeng Wang, Zilong Zheng +1
cs.CLcs.AIarXiv:2311.04939v22023
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang, Liang Luo, Yuxin Chen +12
cs.LGcs.AIarXiv:2403.02545v42024
LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets
Jun Zhao, Leiming Fu, Yanbo Wen +9
cs.AIcs.CLarXiv:2610.09872v12026
Demystifying the Slash Pattern in Attention: The Role of RoPE
Yuan Cheng, Fengzhuo Zhang, Yunlong Hou +5
cs.LGcs.AIcs.CLarXiv:2601.08297v22026
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei, Mehdi Jafarnia-Jahromi, Haipeng Luo +2
cs.LGcs.AIstat.MLarXiv:1910.07072v22019
CrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented Generation
Jiacheng Cai, Zijin Hong, Zheng Yuan +3
cs.CVcs.AIarXiv:2609.05518v12026
TransPhy: Visual In-Context Learning for Physically Grounded Image Editing
Siyi Xie, Xuanke Shi, Jinsheng Quan +4
cs.CVcs.AIarXiv:2608.24119v12026
Evolving Deeper LLM Thinking
Kuang-Huei Lee, Ian Fischer, Yueh-Hua Wu +4
cs.AIarXiv:2501.09891v12025
The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation
Rongwu Xu, Brian S. Lin, Shujian Yang +6
cs.CLcs.AIcs.CRarXiv:2312.09085v52023
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
Ryota Tanaka, Taichi Iki, Taku Hasegawa +3
cs.CLcs.AIcs.CVarXiv:2504.09795v12025
Dalek: A Constructive Agent Machine
Wanpeng Xie
cs.AIarXiv:2609.03546v12026
Rethinking the Tradeoff Between Temporal Encoding and Nonlinear Computation in Spiking Language Models
Hanfei Liu, Shuchang Feng, Yanxia Chen +2
cs.LGcs.AIarXiv:2610.10933v12026
MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use
Mengru Wang, Haozhe Luo, Zhenqian Xu +6
cs.AIcs.CLcs.CYarXiv:2608.20202v12026
PHYRE: A New Benchmark for Physical Reasoning
Anton Bakhtin, Laurens van der Maaten, Justin Johnson +2
cs.LGcs.AIstat.MLarXiv:1908.05656v12019
World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
Zhennan Jiang, Kai Liu, Yuxin Qin +6
cs.ROcs.AIarXiv:2509.19080v22025
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold, Jun Cao, Zhong Fan
cs.MAcs.AIcs.LGarXiv:2111.10898v22021
A Hierarchy-Aware Video-Language Model Evaluation and Hyperbolic Baseline for Surgery
Ana Manzano Rodríguez, Pascal Mettes, Marlies P. Schijven +1
cs.CVcs.AIarXiv:2609.27139v12026
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
Shuliang Liu, Songbo Yang, Dong Fang +7
cs.CVcs.AIarXiv:2601.05159v12026
Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search
Jialin Lu, Soonho Kong, Rodrigo Stehling +4
cs.LOcs.AIcs.CLarXiv:2605.20244v22026
GLM-130B: An Open Bilingual Pre-trained Model
Aohan Zeng, Xiao Liu, Zhengxiao Du +15
cs.CLcs.AIcs.LGarXiv:2210.02414v22022
MM-IFEval-Pro: A Multilingual and Attack-Resistant Benchmark for Instruction-Following in Vision-Language Models
Changming Xiao, Zhenliang Ni, Jinhui He +2
cs.AIarXiv:2609.04859v12026
Learning to Cover Locally: Graph Neural Combinatorial Optimization under a Hard Information Horizon
Johannes F. Loevenich, Thies Moehlenhof, Laurin Holz +3
stat.MLcs.AIcs.LGarXiv:2610.00422v12026
TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen, Hao Su, Xiaolong Wang
cs.LGcs.AIcs.CVarXiv:2310.16828v22023
When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels
Sushant Gautam, Finn Schwall, Annika Willoch Olstad +6
cs.LGcs.AIcs.CLarXiv:2605.06652v12026
Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations
Ruiqian Nai, Boyuan Zheng, Junming Zhao +8
cs.ROcs.AIcs.LGarXiv:2602.06643v22026
Building Guardrails for Large Language Models
Yi Dong, Ronghui Mu, Gaojie Jin +6
cs.CLcs.AIarXiv:2402.01822v22024
SANE: State Anomaly Neutralization for Stable Extreme-Context Delta-Rule Models
Qingwen Lin, Boyan Xu, Xiao Liu +2
cs.LGcs.AIarXiv:2608.22354v22026
DrEureka: Language Model Guided Sim-To-Real Transfer
Yecheng Jason Ma, William Liang, Hung-Ju Wang +5
cs.ROcs.AIcs.LGarXiv:2406.01967v12024
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
Bill Byrne, Karthik Krishnamoorthi, Chinnadhurai Sankar +7
cs.CLcs.AIcs.LGarXiv:1909.05358v12019
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers
James Prather, Brent N. Reeves, Paul Denny +6
cs.HCcs.AIarXiv:2304.02491v12023
Scalable Question-Centric Text-to-Image Evaluation: Reliable Ranking, Fine-Grained Diagnosis, and Cost-Aware Routing
Shaoan Zhao, Fang Zhao, Xueqiang Guo +9
cs.AIarXiv:2608.24112v12026
TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling
Weizhe Lin, Xing Li, Zhiyuan Yang +7
cs.LGcs.AIcs.CLarXiv:2505.17155v22025
CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents
Haebin Seong, Sungmin Kim, Yongjun Cho +20
cs.AIcs.CEcs.CVarXiv:2511.20216v72025
Controlled LLM Training on Spectral Sphere
Tian Xie, Haoming Luo, Haoyu Tang +9
cs.LGcs.AIarXiv:2601.08393v32026
Semantic Views: Certified Reuse of LLM Labels Across Semantic Queries
Oktie Hassanzadeh, Dharmashankar Subramanian
cs.DBcs.AIarXiv:2610.12768v12026
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
Qiguang Chen, Libo Qin, Jinhao Liu +7
cs.AIcs.CLarXiv:2503.09567v52025
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Yafei Hu, Quanting Xie, Vidhi Jain +20
cs.ROcs.AIcs.CVarXiv:2312.08782v32023
PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents
Seongjae Kang, Taehyung Yu, Sung Ju Hwang
cs.AIcs.CLcs.LGarXiv:2608.19861v12026
VisCache: Visual KV Cache Pruning for Efficient Vision Large Language Model Inference
Lyuke Wang, Zhuo Li, Guangxu Zhu
cs.CVcs.AIarXiv:2608.24063v12026
LitLLM: A Toolkit for Scientific Literature Review
Shubham Agarwal, Gaurav Sahu, Abhay Puri +5
cs.CLcs.AIcs.IRarXiv:2402.01788v22024
Rethinking Neural Nonlinearity as Gating
Muhammad Sabih, Frank Hannig, Jürgen Teich
cs.LGcs.AIarXiv:2607.03148v12026
The Logic of Graph Neural Networks
Martin Grohe
cs.LGcs.AIcs.LOarXiv:2104.14624v22021
RealFin: How Well Do LLMs Reason About Finance When Users Leave Things Unsaid?
Yuyang Dai, Yan Lin, Zhuohan Xie +1
q-fin.STcs.AIq-fin.CParXiv:2602.07096v22026
ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning
Harshil Lodhiya
cs.LGcs.AIarXiv:2608.14773v12026
Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
Noam Razin, Sadhika Malladi, Adithya Bhaskar +3
cs.LGcs.AIcs.CLarXiv:2410.08847v42024
Interactive Task Planning with Language Models
Boyi Li, Philipp Wu, Pieter Abbeel +1
cs.ROcs.AIcs.CLarXiv:2310.10645v22023
Draft Less, Retrieve More: Hybrid Tree Construction for Speculative Decoding
Yuhao Shen, Tianyu Liu, Xinyi Hu +9
cs.LGcs.AIarXiv:2605.20104v12026
VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects
Xiangbo Gao, Sicong Jiang, Bangya Liu +12
cs.CVcs.AIcs.CLarXiv:2604.16272v22026
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
Fengqing Jiang, Zhangchen Xu, Yuetai Li +5
cs.AIcs.CLarXiv:2502.12025v12025
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang, Jiaolong Yang, Dongqiangzi Ye +1
cs.CVcs.AIarXiv:1807.10029v12018
Why We Care About Understanding: Competence through Predictive Compression
Matthieu Queloz, Pierre Beckmann
cs.AIcs.CLarXiv:2609.04962v12026
AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers
Alexander Crosier, Kyle Onghai, Ronnie Sircar
q-fin.GNcs.AIecon.GNarXiv:2609.08166v12026
AbsorbEvo: An Agentic Framework for Autonomous Inverse Design of Microwave Absorbers
Zhicheng Feng, Yubo Zhao, Xuefeng Yao
cs.AIarXiv:2610.01119v12026
Measuring the Gap Between Human and LLM Research Ideas
Ziyu Chen, Yilun Zhao, Arman Cohan
cs.CLcs.AIarXiv:2607.01233v12026
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning
Liting Sun, Cheng Peng, Wei Zhan +1
cs.AIcs.LGcs.SYarXiv:1707.02515v12017
Structured Graph Learning for Clustering and Semi-supervised Classification
Zhao Kang, Chong Peng, Qiang Cheng +4
cs.LGcs.AIcs.CVarXiv:2008.13429v12020
Effective Reasoning Chains Reduce Intrinsic Dimensionality
Archiki Prasad, Mandar Joshi, Kenton Lee +2
cs.CLcs.AIcs.LGarXiv:2602.09276v22026
On the Evaluation of Neural Code Summarization
Ensheng Shi, Yanlin Wang, Lun Du +5
cs.SEcs.AIarXiv:2107.07112v22021
Explanation Multiplicity: Circuit-Level Interpretability Evidence Does Not Survive Defensible Analytic Variation
Ajay Pravin Mahale
cs.AIarXiv:2608.13754v12026
Steering Language Models with Game-Theoretic Solvers
Ian Gemp, Roma Patel, Yoram Bachrach +6
cs.CLcs.AIcs.GTarXiv:2402.01704v32024

Artificial Intelligence

LooGLE: Can Long-Context Language Models Understand Long Contexts?

Wukong: Towards a Scaling Law for Large-Scale Recommendation

LiveMACE: Process-Aware Evaluation of LLM Agent Capabilities in Evolving Markets

Demystifying the Slash Pattern in Attention: The Role of RoPE

Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes

CrossModalQA: A Cross-modal and Multi-hop Benchmark for Multimodal Retrieval-augmented Generation

TransPhy: Visual In-Context Learning for Physically Grounded Image Editing

Evolving Deeper LLM Thinking

The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation

VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents

Dalek: A Constructive Agent Machine

Rethinking the Tradeoff Between Temporal Encoding and Nonlinear Computation in Spiking Language Models

MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use

PHYRE: A New Benchmark for Physical Reasoning

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation

Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning

A Hierarchy-Aware Video-Language Model Evaluation and Hyperbolic Baseline for Surgery

Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search

GLM-130B: An Open Bilingual Pre-trained Model

MM-IFEval-Pro: A Multilingual and Attack-Resistant Benchmark for Instruction-Following in Vision-Language Models

Learning to Cover Locally: Graph Neural Combinatorial Optimization under a Hard Information Horizon

TD-MPC2: Scalable, Robust World Models for Continuous Control

When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels

Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations

Building Guardrails for Large Language Models

SANE: State Anomaly Neutralization for Stable Extreme-Context Delta-Rule Models

DrEureka: Language Model Guided Sim-To-Real Transfer

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset

"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers

Scalable Question-Centric Text-to-Image Evaluation: Reliable Ranking, Fine-Grained Diagnosis, and Cost-Aware Routing

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling

CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents

Controlled LLM Training on Spectral Sphere

Semantic Views: Certified Reuse of LLM Labels Across Semantic Queries

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents

VisCache: Visual KV Cache Pruning for Efficient Vision Large Language Model Inference

LitLLM: A Toolkit for Scientific Literature Review

Rethinking Neural Nonlinearity as Gating

The Logic of Graph Neural Networks

RealFin: How Well Do LLMs Reason About Finance When Users Leave Things Unsaid?

ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machine Learning

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization

Interactive Task Planning with Language Models

Draft Less, Retrieve More: Hybrid Tree Construction for Speculative Decoding

VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects

SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Why We Care About Understanding: Competence through Predictive Compression

AI for AI: Optimizing Additional Infrastructure Build-out to Power Artificial Intelligence Data Centers

AbsorbEvo: An Agentic Framework for Autonomous Inverse Design of Microwave Absorbers

Measuring the Gap Between Human and LLM Research Ideas

A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning

Structured Graph Learning for Clustering and Semi-supervised Classification

Effective Reasoning Chains Reduce Intrinsic Dimensionality

On the Evaluation of Neural Code Summarization

Explanation Multiplicity: Circuit-Level Interpretability Evidence Does Not Survive Defensible Analytic Variation

Steering Language Models with Game-Theoretic Solvers