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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7,681 to 7,740 of 15,218

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
Bochuan Cao, Yuanpu Cao, Lu Lin +1
cs.CLcs.AIcs.CRarXiv:2309.14348v32023
PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference
Jiaming Ji, Donghai Hong, Borong Zhang +10
cs.AIcs.CLarXiv:2406.15513v32024
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Tuomas Kynkäänniemi, Miika Aittala, Tero Karras +3
cs.CVcs.AIcs.LGarXiv:2404.07724v22024
MetaPoison: Practical General-purpose Clean-label Data Poisoning
W. Ronny Huang, Jonas Geiping, Liam Fowl +2
cs.LGcs.AIcs.CRarXiv:2004.00225v22020
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation
Huaishao Luo, Junwei Bao, Youzheng Wu +2
cs.CVcs.AIarXiv:2211.14813v22022
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
Michael Hanna, Ollie Liu, Alexandre Variengien
cs.CLcs.AIcs.LGarXiv:2305.00586v52023
Retrospective Reader for Machine Reading Comprehension
Zhuosheng Zhang, Junjie Yang, Hai Zhao
cs.CLcs.AIcs.IRarXiv:2001.09694v42020
Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog
Satwik Kottur, José M. F. Moura, Stefan Lee +1
cs.CLcs.AIcs.CVarXiv:1706.08502v32017
Classification using Hyperdimensional Computing: A Review
Lulu Ge, Keshab K. Parhi
cs.LGcs.AIcs.CLarXiv:2004.11204v12020
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
Divyat Mahajan, Chenhao Tan, Amit Sharma
cs.LGcs.AIstat.MLarXiv:1912.03277v32019
PalmTree: Learning an Assembly Language Model for Instruction Embedding
Xuezixiang Li, Qu Yu, Heng Yin
cs.LGcs.AIcs.PLarXiv:2103.03809v32021
Potential Functions based Sampling Heuristic For Optimal Path Planning
Ahmed Hussain Qureshi, Yasar Ayaz
cs.ROcs.AIarXiv:1704.00264v12017
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
Henry Zhu, Abhishek Gupta, Aravind Rajeswaran +2
cs.AIcs.ROarXiv:1810.06045v12018
Geometry of Divergence: Tracking Hidden-State Trajectories for Adaptive Multi-Turn Reasoning
Jie Liang, Zhengxin Yu, Hamid Nasiri +1
cs.AIcs.CLarXiv:2608.30650v12026
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments
Ahmed Hussain Qureshi, Yasar Ayaz
cs.ROcs.AIarXiv:1703.08944v12017
Algorithms for CVaR Optimization in MDPs
Yinlam Chow, Mohammad Ghavamzadeh
cs.AImath.OCarXiv:1406.3339v32014
HSRM: Hidden-State Reward Models for Test-Time Verification
Xianzhi Li, Xiaodan Zhu
cs.AIcs.CLarXiv:2608.30841v12026
Open-World Object Manipulation using Pre-trained Vision-Language Models
Austin Stone, Ted Xiao, Yao Lu +9
cs.ROcs.AIcs.CVarXiv:2303.00905v22023
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki, Hédi Ben-Younes, Patrick Pérez +1
cs.CVcs.AIcs.LGarXiv:2101.05307v22021
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Yuning Mao, Lambert Mathias, Rui Hou +5
cs.CLcs.AIcs.LGarXiv:2110.07577v32021
Higher-Dimensional Rotary Position Embedding
Yixing Li, Ruobing Xie, Yudong Zhang +3
cs.LGcs.AIcs.CLarXiv:2608.29715v12026
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
Shizhe Chen, Qin Jin, Peng Wang +1
cs.CVcs.AIarXiv:2003.00387v12020
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
Guangxing Han, Shiyuan Huang, Jiawei Ma +2
cs.CVcs.AIcs.MMarXiv:2104.07719v42021
Fast-Convergent Federated Learning with Adaptive Weighting
Hongda Wu, Ping Wang
cs.LGcs.AIarXiv:2012.00661v22020
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Colin Rowat, Ilya Feige
stat.MLcs.AIcs.LGarXiv:1910.06358v32019
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
Haoyun Jiang, Haolin Li, Jianwei Zhang +7
cs.LGcs.AIarXiv:2608.30295v12026
Adaptive Stress Testing for Autonomous Vehicles
Mark Koren, Saud Alsaif, Ritchie Lee +1
cs.ROcs.AIcs.LGarXiv:1902.01909v12019
Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation
Rusheb Shah, Quentin Feuillade--Montixi, Soroush Pour +3
cs.CLcs.AIcs.LGarXiv:2311.03348v22023
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following
Ziyu Guo, Renrui Zhang, Xiangyang Zhu +8
cs.CVcs.AIcs.CLarXiv:2309.00615v12023
Nash Learning from Human Feedback
Rémi Munos, Michal Valko, Daniele Calandriello +14
stat.MLcs.AIcs.GTarXiv:2312.00886v42023
Personas Differ from Native-Language Generation: Language Pathways Shape LLM Interpersonal Advice
Jinhee Won, Xinlan Emily Hu
cs.CLcs.AIarXiv:2608.30873v12026
What Large Language Models Know and What People Think They Know
Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar +5
cs.LGcs.AIcs.CLarXiv:2401.13835v22024
Verifying Properties of Binarized Deep Neural Networks
Nina Narodytska, Shiva Prasad Kasiviswanathan, Leonid Ryzhyk +2
stat.MLcs.AIcs.CRarXiv:1709.06662v22017
Code Generation as a Dual Task of Code Summarization
Bolin Wei, Ge Li, Xin Xia +2
cs.LGcs.AIcs.SEarXiv:1910.05923v12019
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes
Lei Wu, Zhanxing Zhu, Weinan E
cs.LGcs.AIstat.MLarXiv:1706.10239v22017
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning
Zhenglun Kong, Peiyan Dong, Xiaolong Ma +9
cs.CVcs.AIcs.ARarXiv:2112.13890v22021
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam +1
cs.CVcs.AIcs.LGarXiv:2203.03580v22022
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks
Evan Caville, Wai Weng Lo, Siamak Layeghy +1
cs.LGcs.AIcs.CRarXiv:2207.06819v52022
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models
Asma Ghandeharioun, Avi Caciularu, Adam Pearce +2
cs.CLcs.AIcs.LGarXiv:2401.06102v42024
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Ruoyu Qin, Zheming Li, Weiran He +4
cs.DCcs.AIcs.ARarXiv:2407.00079v42024
StyleDrop: Text-to-Image Generation in Any Style
Kihyuk Sohn, Nataniel Ruiz, Kimin Lee +11
cs.CVcs.AIarXiv:2306.00983v12023
Neurotoxin: Durable Backdoors in Federated Learning
Zhengming Zhang, Ashwinee Panda, Linyue Song +5
cs.CRcs.AIcs.LGarXiv:2206.10341v12022
EditGAN: High-Precision Semantic Image Editing
Huan Ling, Karsten Kreis, Daiqing Li +3
cs.CVcs.AIarXiv:2111.03186v12021
Knowledge Graph Embedding with Iterative Guidance from Soft Rules
Shu Guo, Quan Wang, Lihong Wang +2
cs.AIarXiv:1711.11231v12017
Calibrating Small Language Models for Claim Check-Worthiness Detection
Pratuat Amatya, Venktesh Viswanathan, Vinay Setty
cs.CLcs.AIarXiv:2608.30731v12026
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning
Zheda Mai, Ruiwen Li, Hyunwoo Kim +1
cs.LGcs.AIcs.CVarXiv:2103.13885v32021
Learning Near Optimal Policies with Low Inherent Bellman Error
Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer +1
cs.LGcs.AIarXiv:2003.00153v32020
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification
Jie Zhou, Xu Han, Cheng Yang +4
cs.CLcs.AIcs.LGarXiv:1908.01843v12019
An Agentic Retrobiosynthesis Framework with Learned Frontier Selection
Philippe Meyer, Guillaume Gricourt, Thomas Duigou +2
cs.CLcs.AIcs.LGarXiv:2608.30702v12026
LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language Models
Bérénice Jaulmes, Mehwish Alam
cs.CLcs.AIarXiv:2608.30679v12026
Large Language Model-Based Agents for Software Engineering: A Survey
Junwei Liu, Kaixin Wang, Yixuan Chen +4
cs.SEcs.AIarXiv:2409.02977v22024
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis
Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt +1
cs.CVcs.AIcs.LGarXiv:1710.09762v22017
Type-Constrained Representation Learning in Knowledge Graphs
Denis Krompaß, Stephan Baier, Volker Tresp
cs.AIcs.LGarXiv:1508.02593v22015
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control
Zhongyu Li, Xue Bin Peng, Pieter Abbeel +3
cs.ROcs.AIeess.SYarXiv:2401.16889v22024
BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs
Debarpan Bhattacharya, Malay Phadke, Sriram Ganapathy
cs.CLcs.AIcs.LGarXiv:2608.30646v12026
GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning
Outongyi Lv, Yuanwei Zhang, Xiaoqun Zhang
cs.CLcs.AIcs.LGarXiv:2608.30632v12026
A Machine-Learning Approach for Earthquake Magnitude Estimation
S. Mostafa Mousavi, Gregory C. Beroza
physics.geo-phcs.AIcs.LGarXiv:1911.05975v12019
Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training
Lukas Borggren, Jenny Kunz, Marco Kuhlmann
cs.CLcs.AIcs.LGarXiv:2608.30609v12026
Scaling Robot Learning with Semantically Imagined Experience
Tianhe Yu, Ted Xiao, Austin Stone +10
cs.ROcs.AIcs.CLarXiv:2302.11550v12023
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
Usman Anwar, Abulhair Saparov, Javier Rando +39
cs.LGcs.AIcs.CLarXiv:2404.09932v22024

Artificial Intelligence

Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference

Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

MetaPoison: Practical General-purpose Clean-label Data Poisoning

SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation

How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

Retrospective Reader for Machine Reading Comprehension

Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog

Classification using Hyperdimensional Computing: A Review

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

PalmTree: Learning an Assembly Language Model for Instruction Embedding

Potential Functions based Sampling Heuristic For Optimal Path Planning

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

Geometry of Divergence: Tracking Hidden-State Trajectories for Adaptive Multi-Turn Reasoning

Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments

Algorithms for CVaR Optimization in MDPs

HSRM: Hidden-State Reward Models for Test-Time Verification

Open-World Object Manipulation using Pre-trained Vision-Language Models

Explainability of deep vision-based autonomous driving systems: Review and challenges

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

Higher-Dimensional Rotary Position Embedding

Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs

Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment

Fast-Convergent Federated Learning with Adaptive Weighting

Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability

CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration

Adaptive Stress Testing for Autonomous Vehicles

Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

Nash Learning from Human Feedback

Personas Differ from Native-Language Generation: Language Pathways Shape LLM Interpersonal Advice

What Large Language Models Know and What People Think They Know

Verifying Properties of Binarized Deep Neural Networks

Code Generation as a Dual Task of Code Summarization

Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes

SPViT: Enabling Faster Vision Transformers via Soft Token Pruning

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control

Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks

Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving

StyleDrop: Text-to-Image Generation in Any Style

Neurotoxin: Durable Backdoors in Federated Learning

EditGAN: High-Precision Semantic Image Editing

Knowledge Graph Embedding with Iterative Guidance from Soft Rules

Calibrating Small Language Models for Claim Check-Worthiness Detection

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

Learning Near Optimal Policies with Low Inherent Bellman Error

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

An Agentic Retrobiosynthesis Framework with Learned Frontier Selection

LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language Models

Large Language Model-Based Agents for Software Engineering: A Survey

How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis

Type-Constrained Representation Learning in Knowledge Graphs

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control

BiG-SURE - Bipartite Graph for Semantic Uncertainty and Reliability Estimation of LLMs

GMTS: Gradient Magnitude-based Token Selection Improves RLVR Training for LLM Reasoning

A Machine-Learning Approach for Earthquake Magnitude Estimation

Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training

Scaling Robot Learning with Semantically Imagined Experience

Foundational Challenges in Assuring Alignment and Safety of Large Language Models