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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6,961 to 7,020 of 15,198

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
Mingyuan Zhou, Huangjie Zheng, Zhendong Wang +2
cs.LGcs.AIcs.CVarXiv:2404.04057v32024
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf +1
cs.LGcs.AIstat.MLarXiv:2006.06831v32020
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Qingyong Hu, Bo Yang, Sheikh Khalid +3
cs.CVcs.AIcs.ROarXiv:2009.03137v32020
Discriminative World Models for Web Agents
Kelvin Li, Dhruv Pendharkar, Anish Pahilajani +6
cs.AIcs.LGarXiv:2609.02885v12026
Enabling Language Models to Fill in the Blanks
Chris Donahue, Mina Lee, Percy Liang
cs.CLcs.AIcs.LGarXiv:2005.05339v22020
HyFlex: A Benchmark Framework for Cross-domain Heuristic Search
Edmund Burke, Tim Curtois, Matthew Hyde +2
cs.AIarXiv:1107.5462v12011
In-context Reinforcement Learning with Algorithm Distillation
Michael Laskin, Luyu Wang, Junhyuk Oh +11
cs.LGcs.AIarXiv:2210.14215v12022
ToolACE: Winning the Points of LLM Function Calling
Weiwen Liu, Xu Huang, Xingshan Zeng +24
cs.LGcs.AIcs.CLarXiv:2409.00920v22024
Case-based Reasoning for Natural Language Queries over Knowledge Bases
Rajarshi Das, Manzil Zaheer, Dung Thai +6
cs.CLcs.AIcs.LGarXiv:2104.08762v22021
When to use parametric models in reinforcement learning?
Hado van Hasselt, Matteo Hessel, John Aslanides
cs.LGcs.AIstat.MLarXiv:1906.05243v12019
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
Konstantin Klemmer, Esther Rolf, Caleb Robinson +2
cs.CVcs.AIcs.CYarXiv:2311.17179v32023
Distinguish Confusing Law Articles for Legal Judgment Prediction
Nuo Xu, Pinghui Wang, Long Chen +3
cs.CLcs.AIarXiv:2004.02557v32020
Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents
Jalal Mahmud
cs.AIcs.IRarXiv:2609.02129v12026
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
Roberta Raileanu, Tim Rocktäschel
cs.LGcs.AIarXiv:2002.12292v22020
The Off-Switch Game
Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel +1
cs.AIarXiv:1611.08219v32016
Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework
Cagri Temel
cs.ROcs.AIarXiv:2609.02861v12026
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection
Hooman Alavizadeh, Julian Jang-Jaccard, Hootan Alavizadeh
cs.CRcs.AIarXiv:2111.13978v12021
Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects
Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang +8
cs.AIcs.MAarXiv:2401.03428v12024
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
Jiquan Wang, Sha Zhao, Zhiling Luo +5
eess.SPcs.AIcs.LGarXiv:2412.07236v62024
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography
Eunhee Kang, Hyun Jung Koo, Dong Hyun Yang +2
cs.CVcs.AIcs.LGarXiv:1806.09748v32018
Using Natural Language for Reward Shaping in Reinforcement Learning
Prasoon Goyal, Scott Niekum, Raymond J. Mooney
cs.LGcs.AIstat.MLarXiv:1903.02020v22019
Towards a Rigorous Evaluation of XAI Methods on Time Series
Udo Schlegel, Hiba Arnout, Mennatallah El-Assady +2
cs.LGcs.AIarXiv:1909.07082v22019
SINE: SINgle Image Editing with Text-to-Image Diffusion Models
Zhixing Zhang, Ligong Han, Arnab Ghosh +2
cs.CVcs.AIarXiv:2212.04489v22022
Generative Adversarial Transformers
Drew A. Hudson, C. Lawrence Zitnick
cs.CVcs.AIcs.CLarXiv:2103.01209v42021
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Zeyi Sun, Ye Fang, Tong Wu +6
cs.CVcs.AIcs.CLarXiv:2312.03818v22023
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
Xiaoshi Wu, Feng Zhu, Rui Zhao +1
cs.CVcs.AIarXiv:2303.13076v12023
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou +2
cs.CLcs.AIcs.LGarXiv:1811.10996v12018
How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account
Ruize Xu, Xiao Yu, Yujin Tang +2
cs.LGcs.AIcs.CLarXiv:2608.30067v12026
Deep Reinforcement Learning for Imbalanced Classification
Enlu Lin, Qiong Chen, Xiaoming Qi
cs.LGcs.AIstat.MLarXiv:1901.01379v12019
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities
Sreyan Ghosh, Sonal Kumar, Ashish Seth +6
cs.SDcs.AIcs.CLarXiv:2406.11768v12024
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.ROarXiv:1812.07671v22018
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Ying Sheng, Shiyi Cao, Dacheng Li +9
cs.LGcs.AIcs.DCarXiv:2311.03285v32023
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning
Jing-Cheng Shi, Yang Yu, Qing Da +2
cs.AIarXiv:1805.10000v12018
Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments
Fei Xia, William B. Shen, Chengshu Li +6
cs.ROcs.AIcs.CVarXiv:1910.14442v32019
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support
Tim Miller
cs.AIcs.HCarXiv:2302.12389v32023
Influence Is Not Authority: When Causal Guardrail Signals Make Legitimate Tool Use Look Like an Attack in Tool-Using LLM Agents
Tanzim Ahad, Ismail Hossain, Md Jahangir Alam +3
cs.CRcs.AIarXiv:2608.29942v12026
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus, Masatoshi Uehara
cs.LGcs.AIstat.MLarXiv:1908.08526v32019
Capacity and Trainability in Recurrent Neural Networks
Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo
stat.MLcs.AIcs.LGarXiv:1611.09913v32016
Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition
Dimitrios Kollias, Stefanos Zafeiriou
cs.CVcs.AIcs.LGarXiv:1811.07770v22018
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo +6
cs.CLcs.AIarXiv:2309.08532v32023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
Gengwei Zhang, Liyuan Wang, Guoliang Kang +2
cs.CVcs.AIcs.LGarXiv:2303.05118v42023
How to Index Item IDs for Recommendation Foundation Models
Wenyue Hua, Shuyuan Xu, Yingqiang Ge +1
cs.IRcs.AIcs.CLarXiv:2305.06569v62023
CrossNER: Evaluating Cross-Domain Named Entity Recognition
Zihan Liu, Yan Xu, Tiezheng Yu +5
cs.CLcs.AIarXiv:2012.04373v22020
Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
Jianlan Luo, Charles Xu, Jeffrey Wu +1
cs.ROcs.AIarXiv:2410.21845v32024
WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling
Zhongzheng Li, Qingsong Ran, Shikun Feng +5
cs.LGcs.AIarXiv:2609.01608v12026
MultiGhostBench: A Multilingual Benchmark for Long-Form LLM-Generated Text Attribution under Distribution Shifts
Matteo Greco, Anudeex Shetty, Andrea Tagarelli +1
cs.CLcs.AIcs.CYarXiv:2609.02379v12026
Rethinking with Retrieval: Faithful Large Language Model Inference
Hangfeng He, Hongming Zhang, Dan Roth
cs.CLcs.AIarXiv:2301.00303v12022
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle +3
cs.CLcs.AIcs.LGarXiv:2108.12084v22021
Evaluating the Performance of Large Language Models on GAOKAO Benchmark
Xiaotian Zhang, Chunyang Li, Yi Zong +12
cs.CLcs.AIarXiv:2305.12474v42023
Knowing Is Not Enough: Information Retrievability as a Precondition to Effective LLM Oversight
Xinyu Fu, Narayan Ramasubbu, Dennis Galletta
cs.HCcs.AIarXiv:2609.01976v12026
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data
Oier Mees, Lukas Hermann, Wolfram Burgard
cs.ROcs.AIcs.CLarXiv:2204.06252v22022
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Atticus Geiger, Zhengxuan Wu, Christopher Potts +2
cs.AIarXiv:2303.02536v42023
HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design
Ge Sun, Gervasio Zaldivar, Yuan Tian +5
physics.chem-phcond-mat.mtrl-scics.AIarXiv:2609.02746v12026
A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
Yu Wang, Yilin Shen, Hongxia Jin
cs.CLcs.AIcs.LGarXiv:1812.10235v12018
EvalDetectBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models
Xinning Li, Kemunto Ochwang'i, Aryasomayajula Ram Bharadwaj +2
cs.AIcs.CLarXiv:2609.01611v12026
The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
Sander Schulhoff, Michael Ilie, Nishant Balepur +28
cs.CLcs.AIarXiv:2406.06608v62024
text2ql: Multi-Target Natural Language Querying via a Language-Agnostic Intermediate Representation
Ritesh Kumar
cs.CLcs.AIcs.DBarXiv:2609.02115v12026
Batch Active Learning at Scale
Gui Citovsky, Giulia DeSalvo, Claudio Gentile +4
cs.LGcs.AIarXiv:2107.14263v12021
MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity
Yiran Zhang, Jinwen Liu, Daniel Su +7
cs.AIarXiv:2609.02060v12026
Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance
Sai Niranjan Ramachandran, Suvrit Sra
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2609.02373v12026

Artificial Intelligence

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges

Discriminative World Models for Web Agents

Enabling Language Models to Fill in the Blanks

HyFlex: A Benchmark Framework for Cross-domain Heuristic Search

In-context Reinforcement Learning with Algorithm Distillation

ToolACE: Winning the Points of LLM Function Calling

Case-based Reasoning for Natural Language Queries over Knowledge Bases

When to use parametric models in reinforcement learning?

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Distinguish Confusing Law Articles for Legal Judgment Prediction

Beyond Context Windows: Persistent Discovery Context for Data-Centric Agents

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

The Off-Switch Game

Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework

Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography

Using Natural Language for Reward Shaping in Reinforcement Learning

Towards a Rigorous Evaluation of XAI Methods on Time Series

SINE: SINgle Image Editing with Text-to-Image Diffusion Models

Generative Adversarial Transformers

Alpha-CLIP: A CLIP Model Focusing on Wherever You Want

CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

How do World Models and Policies Compose in LLM Agents? A Joint Spectral and Behavioral Account

Deep Reinforcement Learning for Imbalanced Classification

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning

Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments

Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support

Influence Is Not Authority: When Causal Guardrail Signals Make Legitimate Tool Use Look Like an Attack in Tool-Using LLM Agents

Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes

Capacity and Trainability in Recurrent Neural Networks

Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

How to Index Item IDs for Recommendation Foundation Models

CrossNER: Evaluating Cross-Domain Named Entity Recognition

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling

MultiGhostBench: A Multilingual Benchmark for Long-Form LLM-Generated Text Attribution under Distribution Shifts

Rethinking with Retrieval: Faithful Large Language Model Inference

Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies

Evaluating the Performance of Large Language Models on GAOKAO Benchmark

Knowing Is Not Enough: Information Retrievability as a Precondition to Effective LLM Oversight

What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data

Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations

HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design

A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling

EvalDetectBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models

The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

text2ql: Multi-Target Natural Language Querying via a Language-Agnostic Intermediate Representation

Batch Active Learning at Scale

MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity

Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance