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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8,641 to 8,700 of 15,247

DoWhy: An End-to-End Library for Causal Inference
Amit Sharma, Emre Kiciman
stat.MEcs.AIcs.MSarXiv:2011.04216v12020
The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems
Dominik Dellermann, Adrian Calma, Nikolaus Lipusch +3
cs.AIcs.HCarXiv:2105.03354v12021
The Science of Detecting LLM-Generated Texts
Ruixiang Tang, Yu-Neng Chuang, Xia Hu
cs.CLcs.AIarXiv:2303.07205v32023
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Junhyuk Oh, Satinder Singh, Honglak Lee +1
cs.AIcs.LGarXiv:1706.05064v22017
Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren +4
cs.CLcs.AIcs.LGarXiv:2210.09338v22022
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models
Peng Xu, Wenqi Shao, Kaipeng Zhang +7
cs.CVcs.AIarXiv:2306.09265v12023
Large Language Models as Zero-Shot Conversational Recommenders
Zhankui He, Zhouhang Xie, Rahul Jha +6
cs.IRcs.AIarXiv:2308.10053v12023
TVQA+: Spatio-Temporal Grounding for Video Question Answering
Jie Lei, Licheng Yu, Tamara L. Berg +1
cs.CVcs.AIcs.CLarXiv:1904.11574v22019
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Liyan Tang, Philippe Laban, Greg Durrett
cs.CLcs.AIarXiv:2404.10774v22024
Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
cs.LGcs.AIcs.CLarXiv:2209.03430v22022
Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention
Hideyuki Tachibana, Katsuya Uenoyama, Shunsuke Aihara
cs.SDcs.AIcs.LGarXiv:1710.08969v22017
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Fuying Wang, Yuyin Zhou, Shujun Wang +2
cs.CVcs.AIcs.CLarXiv:2210.06044v12022
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja, Ben Moran, Guy Lever +25
cs.ROcs.AIcs.LGarXiv:2304.13653v22023
Generalized Evidence Theory
Yong Deng
cs.AIarXiv:1404.4801v12014
TEACh: Task-driven Embodied Agents that Chat
Aishwarya Padmakumar, Jesse Thomason, Ayush Shrivastava +6
cs.CVcs.AIcs.CLarXiv:2110.00534v32021
Gated-Attention Architectures for Task-Oriented Language Grounding
Devendra Singh Chaplot, Kanthashree Mysore Sathyendra, Rama Kumar Pasumarthi +2
cs.LGcs.AIcs.CLarXiv:1706.07230v22017
AnyLoc: Towards Universal Visual Place Recognition
Nikhil Keetha, Avneesh Mishra, Jay Karhade +4
cs.CVcs.AIcs.ROarXiv:2308.00688v22023
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
Kaidi Xu, Huan Zhang, Shiqi Wang +4
cs.AIcs.LGarXiv:2011.13824v22020
A Personalized System for Conversational Recommendations
M. H. Goker, P. Langley, C. A. Thompson
cs.IRcs.AIarXiv:1107.0029v12011
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Theo X. Olausson, Alex Gu, Benjamin Lipkin +4
cs.CLcs.AIarXiv:2310.15164v22023
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
cs.CLcs.AIcs.CRarXiv:2309.13788v52023
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu, Tianyu Ding, Jinxin Zhou +4
cs.LGcs.AIcs.ITarXiv:2105.02375v12021
Frequency-aware Feature Fusion for Dense Image Prediction
Linwei Chen, Ying Fu, Lin Gu +3
cs.CVcs.AIarXiv:2408.12879v12024
Efficient Exploration via State Marginal Matching
Lisa Lee, Benjamin Eysenbach, Emilio Parisotto +3
cs.LGcs.AIcs.ROarXiv:1906.05274v32019
Interactive Policy Learning through Confidence-Based Autonomy
Sonia Chernova, Manuela Veloso
cs.AIarXiv:1401.3439v12014
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
Kaifeng Bi, Lingxi Xie, Hengheng Zhang +3
physics.ao-phcs.AIcs.CVarXiv:2211.02556v12022
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao, Junchi Yan, Stephen M. Chu +2
cs.LGcs.AIstat.MLarXiv:1705.08982v12017
Capsules for Object Segmentation
Rodney LaLonde, Ulas Bagci
stat.MLcs.AIcs.CVarXiv:1804.04241v12018
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications
Dongyeop Kang, Waleed Ammar, Bhavana Dalvi +4
cs.CLcs.AIarXiv:1804.09635v12018
EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
Jiaoyang Li, Wheeler Ruml, Sven Koenig
cs.AIcs.MAcs.ROarXiv:2010.01367v22020
Med-HALT: Medical Domain Hallucination Test for Large Language Models
Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu
cs.CLcs.AIcs.LGarXiv:2307.15343v22023
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea, Petar Veličković, Nikola Jovanović +2
stat.MLcs.AIcs.LGarXiv:1811.01287v12018
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko +5
cs.CLcs.AIcs.LGarXiv:2312.11514v32023
Seven Failure Points When Engineering a Retrieval Augmented Generation System
Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu +2
cs.SEcs.AIarXiv:2401.05856v12024
Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit
Zhun Fan, Wenji Li, Xinye Cai +5
cs.NEcs.AIarXiv:1612.07603v32016
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
Ian Osband, Benjamin Van Roy
stat.MLcs.AIcs.LGarXiv:1607.00215v32016
Query-Key Normalization for Transformers
Alex Henry, Prudhvi Raj Dachapally, Shubham Pawar +1
cs.CLcs.AIcs.LGarXiv:2010.04245v12020
Robust Graph Learning from Noisy Data
Zhao Kang, Haiqi Pan, Steven C. H. Hoi +1
cs.CVcs.AIcs.LGarXiv:1812.06673v12018
DreamBooth3D: Subject-Driven Text-to-3D Generation
Amit Raj, Srinivas Kaza, Ben Poole +9
cs.CVcs.AIcs.GRarXiv:2303.13508v22023
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
Haoning Wu, Zicheng Zhang, Erli Zhang +8
cs.CVcs.AIcs.MMarXiv:2309.14181v32023
Art or Artifice? Large Language Models and the False Promise of Creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal +2
cs.CLcs.AIcs.HCarXiv:2309.14556v32023
Automating Code Review Activities by Large-Scale Pre-training
Zhiyu Li, Shuai Lu, Daya Guo +8
cs.SEcs.AIarXiv:2203.09095v22022
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin Su, Liang Wang +5
cs.CLcs.AIcs.LGarXiv:2402.09906v32024
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
Carl-Johan Hoel, Katherine Driggs-Campbell, Krister Wolff +2
cs.ROcs.AIcs.LGarXiv:1905.02680v12019
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Yanyu Li, Huan Wang, Qing Jin +6
cs.CVcs.AIcs.LGarXiv:2306.00980v32023
MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech
Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau +2
cs.HCcs.AIcs.LGarXiv:1909.07208v22019
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
Simon S. Du, Jason D. Lee
cs.LGcs.AImath.OCarXiv:1803.01206v22018
Fine-tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao +2
cs.CLcs.AIcs.LGarXiv:2311.08401v12023
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Tianyu Zheng, Ge Zhang, Tianhao Shen +5
cs.SEcs.AIcs.CLarXiv:2402.14658v32024
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo, Dongju Park, Jaewook Kang +2
cs.CLcs.AIarXiv:2104.08826v22021
Deliberative Alignment: Reasoning Enables Safer Language Models
Melody Y. Guan, Manas Joglekar, Eric Wallace +12
cs.CLcs.AIcs.CYarXiv:2412.16339v22024
Automated Design of Agentic Systems
Shengran Hu, Cong Lu, Jeff Clune
cs.AIarXiv:2408.08435v22024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
Zhangchen Xu, Fengqing Jiang, Luyao Niu +3
cs.CRcs.AIcs.CLarXiv:2402.08983v42024
FinanceBench: A New Benchmark for Financial Question Answering
Pranab Islam, Anand Kannappan, Douwe Kiela +3
cs.CLcs.AIcs.CEarXiv:2311.11944v12023
AutoDroid: LLM-powered Task Automation in Android
Hao Wen, Yuanchun Li, Guohong Liu +7
cs.AIcs.SEarXiv:2308.15272v42023
RUDDER: Return Decomposition for Delayed Rewards
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich +3
cs.LGcs.AImath.OCarXiv:1806.07857v32018
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen, Yu Cheng, Zhe Gan +3
cs.CVcs.AIarXiv:2106.04533v32021
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna, Tessa Han, Alex Gu +3
cs.LGcs.AIarXiv:2202.01602v62022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
Julien Perolat, Bart de Vylder, Daniel Hennes +31
cs.AIcs.GTcs.MAarXiv:2206.15378v12022
Transfer learning for time series classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
cs.LGcs.AIstat.MLarXiv:1811.01533v12018

Artificial Intelligence

DoWhy: An End-to-End Library for Causal Inference

The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems

The Science of Detecting LLM-Generated Texts

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning

Deep Bidirectional Language-Knowledge Graph Pretraining

LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models

Large Language Models as Zero-Shot Conversational Recommenders

TVQA+: Spatio-Temporal Grounding for Video Question Answering

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents

Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning

Generalized Evidence Theory

TEACh: Task-driven Embodied Agents that Chat

Gated-Attention Architectures for Task-Oriented Language Grounding

AnyLoc: Towards Universal Visual Place Recognition

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

A Personalized System for Conversational Recommendations

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers

Can LLM-Generated Misinformation Be Detected?

A Geometric Analysis of Neural Collapse with Unconstrained Features

Frequency-aware Feature Fusion for Dense Image Prediction

Efficient Exploration via State Marginal Matching

Interactive Policy Learning through Confidence-Based Autonomy

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

Capsules for Object Segmentation

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding

Med-HALT: Medical Domain Hallucination Test for Large Language Models

Towards Sparse Hierarchical Graph Classifiers

LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Seven Failure Points When Engineering a Retrieval Augmented Generation System

Difficulty Adjustable and Scalable Constrained Multi-objective Test Problem Toolkit

Why is Posterior Sampling Better than Optimism for Reinforcement Learning?

Query-Key Normalization for Transformers

Robust Graph Learning from Noisy Data

DreamBooth3D: Subject-Driven Text-to-3D Generation

Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision

Art or Artifice? Large Language Models and the False Promise of Creativity

Automating Code Review Activities by Large-Scale Pre-training

Generative Representational Instruction Tuning

Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds

MFCC-based Recurrent Neural Network for Automatic Clinical Depression Recognition and Assessment from Speech

On the Power of Over-parametrization in Neural Networks with Quadratic Activation

Fine-tuning Language Models for Factuality

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

Deliberative Alignment: Reasoning Enables Safer Language Models

Automated Design of Agentic Systems

SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

FinanceBench: A New Benchmark for Financial Question Answering

AutoDroid: LLM-powered Task Automation in Android

RUDDER: Return Decomposition for Delayed Rewards

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

Transfer learning for time series classification