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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23,041 to 23,100 of 27,356

IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning
Yuanhang Li, Yiren Song, Junzhe Bai +4
cs.CVcs.AIarXiv:2512.15635v12025
Spyre-Accelerated Retrieval-Augmented Generation on IBM LinuxONE: A Cloud-Native Architecture for Secure, High-Throughput Enterprise AI Inference
Sandeep Bokkasam, Pankaj D
cs.AIarXiv:2608.21393v12026
CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification
Yali Du, Hui Sun, San-Zhuo Xi +1
cs.AIcs.SEarXiv:2609.07434v12026
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
Runzhe Zhan, Zhihong Huang, Xinyi Yang +3
cs.CLcs.AIarXiv:2510.20780v12025
Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs
Seungwoo Jung, Dohyeok Kwon, Seungmin Cha +4
cs.AIarXiv:2609.00575v22026
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
Jingkang Wang, Ava Pun, James Tu +5
cs.ROcs.AIcs.CVarXiv:2101.06549v42021
Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution
Xing Zhang, Yanwei Cui, Guanghui Wang +7
cs.AIcs.MAarXiv:2603.11445v22026
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data
Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey +11
cs.LGcs.AIcs.CLarXiv:2404.01413v22024
PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations
Sasank Annapureddy, Anjaneya Prasad Thamatani
cs.AIarXiv:2609.07910v12026
CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis
Zhen Wang, Yiming Gao, Jieyuan Liu +10
q-bio.GNcs.AIcs.CVarXiv:2602.13346v12026
FlashThink: An Early Exit Method For Efficient Reasoning
Guochao Jiang, Guofeng Quan, Zepeng Ding +3
cs.CLcs.AIarXiv:2505.13949v12025
Efficient Exploration Is Enough
Mikel Malagón, Jon Vadillo, Josu Ceberio +2
cs.LGcs.AIarXiv:2609.07575v12026
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction
Junhong Shen, Hao Bai, Lunjun Zhang +8
cs.LGcs.AIarXiv:2506.07976v22025
DocPrompting: Generating Code by Retrieving the Docs
Shuyan Zhou, Uri Alon, Frank F. Xu +3
cs.CLcs.AIcs.SEarXiv:2207.05987v32022
Local Support Learning
Assaf Ben-Kish, Akarsh Kumar, James Glass +1
cs.LGcs.AIarXiv:2610.02126v12026
Auditing large language models: a three-layered approach
Jakob Mökander, Jonas Schuett, Hannah Rose Kirk +1
cs.CLcs.AIcs.CYarXiv:2302.08500v22023
Early science acceleration experiments with GPT-5
Sébastien Bubeck, Christian Coester, Ronen Eldan +11
cs.CLcs.AIarXiv:2511.16072v12025
Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors
Joshua Penman
cs.AIcs.CLcs.CRarXiv:2608.23873v12026
A Hybrid AI Framework for Academic Advising: Integrating Ensemble-Based Grade Prediction and a Rule-Based Expert System
Hamid Saadatfar, Rohollah Hedayati-Nasab, AmirHossein Eshghi +1
cs.AIcs.LGarXiv:2609.26243v12026
PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding
Selim Kuzucu, Alessio Tonioni, Vasile Lup +3
cs.CVcs.AIcs.CLarXiv:2605.30126v12026
Artificial Intelligence: the global landscape of ethics guidelines
Anna Jobin, Marcello Ienca, Effy Vayena
cs.CYcs.AIarXiv:1906.11668v12019
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
Helge Rhodin, Mathieu Salzmann, Pascal Fua
cs.CVcs.AIarXiv:1804.01110v12018
Conditional LSTM-GAN for Melody Generation from Lyrics
Yi Yu, Abhishek Srivastava, Simon Canales
cs.AIcs.SDeess.ASarXiv:1908.05551v22019
Agent Plasticity: Measuring Self-Improvement Through Experience
Harman Singh, Anton Bakhtin, Rulin Shao +8
cs.AIarXiv:2610.08902v12026
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
Guanglin Niu, Yang Li, Chengguang Tang +7
cs.AIcs.CLarXiv:2104.13095v22021
A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation
Qingchuan Ma, Yuexiao Ma, Yongkang Xie +3
cs.AIcs.LGarXiv:2605.17278v12026
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
Yi Sun, Faustino Gomez, Juergen Schmidhuber
cs.AIstat.MLarXiv:1103.5708v12011
Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision
Wei Du, Shubham Toshniwal, Branislav Kisacanin +7
cs.AIarXiv:2512.15489v12025
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
Qidong Liu, Xian Wu, Xiangyu Zhao +4
cs.CLcs.AIarXiv:2310.18339v22023
Right Frame, Wrong Rule: Cultural Cues Expose the Financial Knowledge Gap They Were Meant to Close
Rania Elbadry, Ahmed Heakl, Saeed Almheiri +12
cs.CLcs.AIcs.LGarXiv:2609.00999v12026
Multi-agent Scaling Across Disjunctive and Compensatory Tasks
Carolina Fortuna, Blaz Bertalanic
cs.AIcs.MAarXiv:2609.31563v12026
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
Zhihan Gao, Xingjian Shi, Hao Wang +4
cs.LGcs.AIcs.CVarXiv:2207.05833v22022
Generalizable Multi-Agent Planning from Signal Temporal Logic Specifications via Diffusion
Joe Eappen, Zikang Xiong, Shreyash S. Iyengar +1
cs.MAcs.AIcs.ROarXiv:2608.29490v12026
ReliabilityBench: Evaluating LLM Agent Reliability Under Production-Like Stress Conditions
Aayush Gupta
cs.AIarXiv:2601.06112v12026
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification
Renrui Zhang, Zhang Wei, Rongyao Fang +5
cs.CVcs.AIcs.CLarXiv:2207.09519v12022
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam Shazeer, Mitchell Stern
cs.LGcs.AIstat.MLarXiv:1804.04235v12018
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen, Kevin Lu, Aravind Rajeswaran +6
cs.LGcs.AIarXiv:2106.01345v22021
Revealing the Dark Secrets of Masked Image Modeling
Zhenda Xie, Zigang Geng, Jingcheng Hu +3
cs.CVcs.AIcs.LGarXiv:2205.13543v22022
MMM: Generative Masked Motion Model
Ekkasit Pinyoanuntapong, Pu Wang, Minwoo Lee +1
cs.CVcs.AIcs.LGarXiv:2312.03596v22023
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha, Peng Xu, Zhenyu Tan +2
cs.ROcs.AIcs.LGarXiv:2002.08550v32020
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
Minhao Liu, Ailing Zeng, Muxi Chen +4
cs.LGcs.AIarXiv:2106.09305v32021
The Capability Manifold and ML Scaling Laws
Syed Ali Raza Zaidi, Maryam Hafeez
cs.LGcs.AIarXiv:2609.27588v12026
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia +1
cs.CRcs.AIarXiv:2207.09209v42022
Why AI is Harder Than We Think
Melanie Mitchell
cs.AIarXiv:2104.12871v22021
DynMuon: A Dynamic Spectral Shaping View of Muon
Fangzhou Wu, Rikhav Shah, Sandeep Silwal +1
cs.LGcs.AIarXiv:2605.17109v32026
GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction
Ziyang Cheng, Tianshu Tang, Jinxin Lan +17
cs.ROcs.AIcs.LGarXiv:2608.18234v12026
RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following
Tianjun Pan, Xuan Lin, Wenyan Yang +7
cs.AIarXiv:2603.25133v12026
HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks
Zhilin Wang, Jiaqi Zeng, Olivier Delalleau +6
cs.CLcs.AIcs.LGarXiv:2503.04378v22025
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
Yaxuan Li, Yuxin Zuo, Bingxiang He +8
cs.LGcs.AIcs.CLarXiv:2604.13016v22026
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
NVIDIA, :, Aaron Blakeman +198
cs.CLcs.AIcs.LGarXiv:2504.03624v42025
BooookScore: A systematic exploration of book-length summarization in the era of LLMs
Yapei Chang, Kyle Lo, Tanya Goyal +1
cs.CLcs.AIcs.LGarXiv:2310.00785v42023
Nature Language Model: Deciphering the Language of Nature for Scientific Discovery
Yingce Xia, Peiran Jin, Shufang Xie +43
cs.AIcs.LGarXiv:2502.07527v32025
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
Marwa Abdulhai, Isadora White, Charlie Snell +5
cs.CLcs.AIcs.LGarXiv:2311.18232v12023
User-oriented Fairness in Recommendation
Yunqi Li, Hanxiong Chen, Zuohui Fu +2
cs.IRcs.AIcs.HCarXiv:2104.10671v12021
Sharing State Between Prompts and Programs
Ellie Y. Cheng, Logan Weber, Tian Jin +1
cs.PLcs.AIarXiv:2512.14805v22025
X$^2$Localizer: Cross-grained Alignment for Progressive Cross-view Video Geo-localization
Zichao Zeng, Weijia Fan, Yufan Chen +7
cs.CVcs.AIcs.ROarXiv:2608.16658v12026
SchemaRouter: Field-Aware Tool Routing for Efficient Heterogeneous Agentic RAG
Yong-eun Cho
cs.AIarXiv:2608.21375v12026
Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen +5
cs.LGcs.AIstat.MLarXiv:1907.00456v22019
Large Language Models as Generalizable Policies for Embodied Tasks
Andrew Szot, Max Schwarzer, Harsh Agrawal +6
cs.LGcs.AIcs.CLarXiv:2310.17722v22023
Genomic Next-Token Predictors are In-Context Learners
Nathan Breslow, Aayush Mishra, Mahler Revsine +3
cs.LGcs.AIq-bio.GNarXiv:2511.12797v32025

Artificial Intelligence

IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning

Spyre-Accelerated Retrieval-Augmented Generation on IBM LinuxONE: A Cloud-Native Architecture for Secure, High-Throughput Enterprise AI Inference

CIT-CAD: Constraint Intent Tree-based CAD Code Generation and Verification

Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost

Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

Verified Multi-Agent Orchestration: A Plan-Execute-Verify-Replan Framework for Complex Query Resolution

Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

PRIMUS: Identity, Governance, and Verification for Multi-Agent Federations

CellMaster: Collaborative Cell Type Annotation in Single-Cell Analysis

FlashThink: An Early Exit Method For Efficient Reasoning

Efficient Exploration Is Enough

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction

DocPrompting: Generating Code by Retrieving the Docs

Local Support Learning

Auditing large language models: a three-layered approach

Early science acceleration experiments with GPT-5

Semantic Overlays: Mitigating Prompt Injection with Annotations Beyond Tokens and Steering Vectors

A Hybrid AI Framework for Academic Advising: Integrating Ensemble-Based Grade Prediction and a Rule-Based Expert System

PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding

Artificial Intelligence: the global landscape of ethics guidelines

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation

Conditional LSTM-GAN for Melody Generation from Lyrics

Agent Plasticity: Measuring Self-Improvement Through Experience

Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion

A2RBench: An Automatic Paradigm for Formally Verifiable Abstract Reasoning Benchmark Generation

Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments

Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications

Right Frame, Wrong Rule: Cultural Cues Expose the Financial Knowledge Gap They Were Meant to Close

Multi-agent Scaling Across Disjunctive and Compensatory Tasks

Earthformer: Exploring Space-Time Transformers for Earth System Forecasting

Generalizable Multi-Agent Planning from Signal Temporal Logic Specifications via Diffusion

ReliabilityBench: Evaluating LLM Agent Reliability Under Production-Like Stress Conditions

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Decision Transformer: Reinforcement Learning via Sequence Modeling

Revealing the Dark Secrets of Masked Image Modeling

MMM: Generative Masked Motion Model

Learning to Walk in the Real World with Minimal Human Effort

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction

The Capability Manifold and ML Scaling Laws

FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients

Why AI is Harder Than We Think

DynMuon: A Dynamic Spectral Shaping View of Muon

GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction

RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following

HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

BooookScore: A systematic exploration of book-length summarization in the era of LLMs

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models

User-oriented Fairness in Recommendation

Sharing State Between Prompts and Programs

X$^2$Localizer: Cross-grained Alignment for Progressive Cross-view Video Geo-localization

SchemaRouter: Field-Aware Tool Routing for Efficient Heterogeneous Agentic RAG

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Large Language Models as Generalizable Policies for Embodied Tasks

Genomic Next-Token Predictors are In-Context Learners