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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10,801 to 10,860 of 15,404

Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning
Yuyang Luo, Kai Shu
cs.LGcs.AIarXiv:2608.21577v12026
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Dongxu Li, Junnan Li, Steven C. H. Hoi
cs.CVcs.AIarXiv:2305.14720v22023
SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning
Hanrui Wang, Zhekai Zhang, Song Han
cs.ARcs.AIcs.CLarXiv:2012.09852v32020
Stream4D: 4D-Consistency for Streaming Autoregressive Diffusion Video Models
Yuanhao Ban, Jiaqi Feng, Hengguang Zhou +3
cs.CVcs.AIarXiv:2608.19556v12026
An efficient framework for learning sentence representations
Lajanugen Logeswaran, Honglak Lee
cs.CLcs.AIcs.LGarXiv:1803.02893v12018
Learning Sequence Encoders for Temporal Knowledge Graph Completion
Alberto García-Durán, Sebastijan Dumančić, Mathias Niepert
cs.AIcs.CLarXiv:1809.03202v12018
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
Tyna Eloundou, Sam Manning, Pamela Mishkin +1
econ.GNcs.AIcs.CYarXiv:2303.10130v52023
Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
Khang Luong, Nam Nguyen, Hoang Ta +2
cs.LGcs.AIstat.MLarXiv:2608.21995v12026
Multi-attention Recurrent Network for Human Communication Comprehension
Amir Zadeh, Paul Pu Liang, Soujanya Poria +3
cs.AIcs.CLcs.LGarXiv:1802.00923v12018
FigmaTrace: Capturing Creative Nuances in Human Figma Design Workflows
Darshan Deshpande, Yoshinari Fujinuma, Martyna Markiewicz +5
cs.CVcs.AIarXiv:2608.21460v12026
SynEHR: Joint Modeling Inter-visit Temporal Evolution and Intra-visit Clinical Structure for Longitudinal EHR Synthesis
Ximiao Li, Lin Jiang, Rongchao Xu +3
cs.LGcs.AIarXiv:2608.21673v12026
Pruned Traffic Trees: Native Semantic Compression with a Protocol-Structured Model Family for Encrypted Traffic Classification
Yuantu Luo, Jun Tao, Xiangyu Xu +2
cs.NIcs.AIarXiv:2608.21874v12026
TASSO: TAsk-Specific Subspace Optimization for Continual Learning of Vision-Language Models
Chang Sun, Francesco Barbato, Matteo Caligiuri +1
cs.CVcs.AIarXiv:2608.21487v12026
VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction
Zhifei Xie, Jiaqi Lang, Ze An +7
eess.AScs.AIcs.IRarXiv:2608.26005v12026
Memory-Based Model Editing at Scale
Eric Mitchell, Charles Lin, Antoine Bosselut +2
cs.AIcs.CLarXiv:2206.06520v12022
Elastic KV Cache for LLM Serving:A Working Reclamation Mechanism, and Why Chunked Prefill Already Closes the Gap
Sathishkumar Sivashanmugam
cs.ARcs.AIarXiv:2608.23658v12026
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang, Xiaojiang Yang, Jirui Yang +4
cs.CVcs.AIcs.LGarXiv:2106.01883v52021
MOMENT: A Family of Open Time-series Foundation Models
Mononito Goswami, Konrad Szafer, Arjun Choudhry +3
cs.LGcs.AIarXiv:2402.03885v32024
Text Matching as Image Recognition
Liang Pang, Yanyan Lan, Jiafeng Guo +3
cs.CLcs.AIarXiv:1602.06359v12016
CAI-DLLM: Convergence Aware Inference for Diffusion Language Models
Farhana Amin, Sabiha Afroz, Dimitrios S. Nikolopoulos
cs.AIarXiv:2608.22646v12026
PatchGate: Narrowing the Verbalization Gap with Intrinsic Object Inventories in Frozen Vision-Language Models
Jihyung Ko, Eunji Jung, Hyeongsub Kim +4
cs.CVcs.AIcs.CLarXiv:2608.21819v12026
LiteEvent-AE: Lightweight Autoencoder for Event-Based Vision on Low-Latency Energy-Constrained Edge Devices
Riadul Islam, Joey Mule, Dhandeep Challagundla +3
cs.CVcs.AIeess.IVarXiv:2608.21764v12026
How much of a measured AI preference is the model, and how much is the instrument?
Jason Hung
cs.AIarXiv:2608.23641v12026
PathVQA: 30000+ Questions for Medical Visual Question Answering
Xuehai He, Yichen Zhang, Luntian Mou +2
cs.CLcs.AIarXiv:2003.10286v12020
Single-Image Depth Perception in the Wild
Weifeng Chen, Zhao Fu, Dawei Yang +1
cs.CVcs.AIarXiv:1604.03901v22016
A Survey on Conversational Recommender Systems
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai +1
cs.HCcs.AIcs.IRarXiv:2004.00646v22020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab, Alexander Robey, Hamed Hassani +2
cs.LGcs.AImath.OCarXiv:1906.04893v22019
Variational Reasoning for Question Answering with Knowledge Graph
Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva +2
cs.LGcs.AIcs.CLarXiv:1709.04071v52017
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
cs.CLcs.AIarXiv:1710.06481v22017
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild +2
cs.LGcs.AIstat.MLarXiv:2106.01342v12021
Sigmoid Attention as a Better Substrate for Learned KV Cache Eviction
Isaac, Li
cs.LGcs.AIarXiv:2608.23296v12026
Retrieval-Augmented Classification of Environmental Mitigations in Hydropower Licensing Documents
Hong-Jun Yoon, Tom Ruggles, Joanna Lee +1
cs.IRcs.AIarXiv:2608.23241v12026
Hierarchy-Aware Supervised Uncertainty Estimation for Black-box LLM Taxonomic Reasoning
Shuting Xie, Nathaniel Lesperance, Graham W. Taylor
cs.LGcs.AIarXiv:2608.22839v12026
EviSafe: Evidence-Grounded Safety Evaluation for Vision-Language Models
Xuetong Li, Gaofeng Liu
cs.AIarXiv:2608.23313v12026
Does Rank Still Matter? Position Bias When AI Agents Shop on Our Behalf
Davood Wadi, Yu Ma
cs.AIecon.GNarXiv:2608.22697v12026
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Luca Longo, Mario Brcic, Federico Cabitza +16
cs.AIarXiv:2310.19775v12023
Forgotten in Weights, Recovered by Tools: Agentic Tool Unlearning for LLM Agents
Baicheng Chen, Zheyuan Liu, Jingyu Zhang +4
cs.CLcs.AIarXiv:2608.21544v12026
A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)
Saber Moradi, Ning Qiao, Fabio Stefanini +1
cs.ARcs.AIarXiv:1708.04198v22017
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng, Xuemin Hu, Peng Deng +8
cs.ROcs.AIarXiv:2303.09824v42023
Evaluation Awareness in Language Models: Representation, Verbalization, and Control
Farzaneh Heidari, Amin Memarian, Guillaume Rabusseau
cs.CLcs.AIarXiv:2608.21766v12026
V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning
Shulin Tian, Minglun Li, Yuhao Dong +6
cs.CVcs.AIarXiv:2608.25580v12026
NoTB: Oracle-Free Triage of LLM-Generated RTL via Cross-Model Formal Consensus
Elisavet Lydia Alvanaki, Je Yang, Biruk Seyoum +1
cs.ARcs.AIarXiv:2608.21962v12026
REFINE: A Multi-Agent LLM Approach for Evidence-Guided Code Refactoring
Muhammad Waseem, Aakash Ahmad, Pekka Abrahamsson
cs.SEcs.AIarXiv:2608.23611v12026
Identifying Latent Declarative Representations of Code for Assisting Repository Migration
Shraddha Surana, Ashwin Srinivasan, Michael Bain
cs.SEcs.AIarXiv:2608.23619v12026
Unsupervised Learning of Disentangled Representations from Video
Remi Denton, Vighnesh Birodkar
cs.LGcs.AIcs.CVarXiv:1705.10915v12017
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Yang Liu, Yuanshun Yao, Jean-Francois Ton +6
cs.AIcs.LGarXiv:2308.05374v22023
Geometric GAN
Jae Hyun Lim, Jong Chul Ye
stat.MLcond-mat.dis-nncs.AIarXiv:1705.02894v22017
Real-TurnTurk: A Multimodal Turkish Corpus for Turn-Taking Prediction
Ahmet Tuğrul Bayrak, Fatma Nur Korkmaz, Bekir Berker Türker +2
cs.CLcs.AIarXiv:2608.22071v12026
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks
Yige Li, Xixiang Lyu, Nodens Koren +3
cs.LGcs.AIarXiv:2101.05930v22021
Phenaki: Variable Length Video Generation From Open Domain Textual Description
Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans +6
cs.CVcs.AIarXiv:2210.02399v12022
More Computational Resources Do Not Ensure Higher Scholarly Impact: Evidence from Leading NLP Conference Papers
Shuai Chen, Tong Bao, Jitong Peng +1
cs.CLcs.AIcs.CYarXiv:2608.21806v12026
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
Kashif Rasul, Calvin Seward, Ingmar Schuster +1
cs.LGcs.AIarXiv:2101.12072v22021
Brain-inspired computing: We need a master plan
Adnan Mehonic, Anthony J Kenyon
cs.ETcs.AIeess.IVarXiv:2104.14517v12021
Optimal and Approximate Q-value Functions for Decentralized POMDPs
Frans A. Oliehoek, Matthijs T. J. Spaan, Nikos Vlassis
cs.AIarXiv:1111.0062v12011
Bi-EZP: LLM-Guided Bilevel Program Evolution for Ensemble Zero-Cost Proxy Discovery
Yutao Lai, Kezhao Lai, Hai-Lin Liu
cs.LGcs.AIarXiv:2608.21927v12026
Training a Knowledge Base: Supervised Structure Learning for Agent-Curated Document Stores
Yu Pan, Hongfeng Yu
cs.CLcs.AIcs.IRarXiv:2608.21829v22026
TRACE: Transition-Aware Residual Control for Multi-Objective Materials Discovery
Kang Zhou, Yujia Tong, Yong Tao +1
cs.AIcond-mat.mtrl-sciarXiv:2608.23631v12026
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka +1
cs.CLcs.AIarXiv:1611.01587v52016
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa, David Held, Xinyang Geng +1
cs.LGcs.AIcs.ROarXiv:1705.06366v52017
GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets
Saif Ahmed, Ashadulla Hil Galib, S. M. Riaz Rahman Antu +5
cs.CVcs.AIcs.LGarXiv:2608.22272v12026

Artificial Intelligence

Anchoring Bias: A Persistent Fairness Backdoor Attack against MLLMs under Continual Learning

BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

SpAtten: Efficient Sparse Attention Architecture with Cascade Token and Head Pruning

Stream4D: 4D-Consistency for Streaming Autoregressive Diffusion Video Models

An efficient framework for learning sentence representations

Learning Sequence Encoders for Temporal Knowledge Graph Completion

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments

Multi-attention Recurrent Network for Human Communication Comprehension

FigmaTrace: Capturing Creative Nuances in Human Figma Design Workflows

SynEHR: Joint Modeling Inter-visit Temporal Evolution and Intra-visit Clinical Structure for Longitudinal EHR Synthesis

Pruned Traffic Trees: Native Semantic Compression with a Protocol-Structured Model Family for Encrypted Traffic Classification

TASSO: TAsk-Specific Subspace Optimization for Continual Learning of Vision-Language Models

VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction

Memory-Based Model Editing at Scale

Elastic KV Cache for LLM Serving:A Working Reclamation Mechanism, and Why Chunked Prefill Already Closes the Gap

Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence

MOMENT: A Family of Open Time-series Foundation Models

Text Matching as Image Recognition

CAI-DLLM: Convergence Aware Inference for Diffusion Language Models

PatchGate: Narrowing the Verbalization Gap with Intrinsic Object Inventories in Frozen Vision-Language Models

LiteEvent-AE: Lightweight Autoencoder for Event-Based Vision on Low-Latency Energy-Constrained Edge Devices

How much of a measured AI preference is the model, and how much is the instrument?

PathVQA: 30000+ Questions for Medical Visual Question Answering

Single-Image Depth Perception in the Wild

A Survey on Conversational Recommender Systems

Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

Variational Reasoning for Question Answering with Knowledge Graph

Constructing Datasets for Multi-hop Reading Comprehension Across Documents

SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Sigmoid Attention as a Better Substrate for Learned KV Cache Eviction

Retrieval-Augmented Classification of Environmental Mitigations in Hydropower Licensing Documents

Hierarchy-Aware Supervised Uncertainty Estimation for Black-box LLM Taxonomic Reasoning

EviSafe: Evidence-Grounded Safety Evaluation for Vision-Language Models

Does Rank Still Matter? Position Bias When AI Agents Shop on Our Behalf

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

Forgotten in Weights, Recovered by Tools: Agentic Tool Unlearning for LLM Agents

A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives

Evaluation Awareness in Language Models: Representation, Verbalization, and Control

V-Rubrics: Visual Faithfulness via Rubric-Based Reinforcement Learning

NoTB: Oracle-Free Triage of LLM-Generated RTL via Cross-Model Formal Consensus

REFINE: A Multi-Agent LLM Approach for Evidence-Guided Code Refactoring

Identifying Latent Declarative Representations of Code for Assisting Repository Migration

Unsupervised Learning of Disentangled Representations from Video

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Geometric GAN

Real-TurnTurk: A Multimodal Turkish Corpus for Turn-Taking Prediction

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Phenaki: Variable Length Video Generation From Open Domain Textual Description

More Computational Resources Do Not Ensure Higher Scholarly Impact: Evidence from Leading NLP Conference Papers

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting

Brain-inspired computing: We need a master plan

Optimal and Approximate Q-value Functions for Decentralized POMDPs

Bi-EZP: LLM-Guided Bilevel Program Evolution for Ensemble Zero-Cost Proxy Discovery

Training a Knowledge Base: Supervised Structure Learning for Agent-Curated Document Stores

TRACE: Transition-Aware Residual Control for Multi-Objective Materials Discovery

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

Automatic Goal Generation for Reinforcement Learning Agents

GAN-Diff : Coupling Pretrained WGAN-GP Features with Conditional Diffusion U-Nets