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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8,881 to 8,940 of 15,439

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
Multilingual Speech Recognition With A Single End-To-End Model
Shubham Toshniwal, Tara N. Sainath, Ron J. Weiss +4
eess.AScs.AIcs.CLarXiv:1711.01694v22017
Predicting the Computational Cost of Deep Learning Models
Daniel Justus, John Brennan, Stephen Bonner +1
cs.LGcs.AIstat.MLarXiv:1811.11880v12018
Deep Reinforcement Learning and the Deadly Triad
Hado van Hasselt, Yotam Doron, Florian Strub +3
cs.AIcs.LGarXiv:1812.02648v12018
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
Tongxin Yuan, Zhiwei He, Lingzhong Dong +9
cs.CLcs.AIarXiv:2401.10019v32024
"Other-Play" for Zero-Shot Coordination
Hengyuan Hu, Adam Lerer, Alex Peysakhovich +1
cs.AIarXiv:2003.02979v32020
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
Hongyuan Mei, Mohit Bansal, Matthew R. Walter
cs.CLcs.AIcs.LGarXiv:1509.00838v22015
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta, Coline Devin, YuXuan Liu +2
cs.AIcs.ROarXiv:1703.02949v12017
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Haixing Dai, Zhengliang Liu, Wenxiong Liao +15
cs.CLcs.AIcs.LGarXiv:2302.13007v32023
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang +5
cs.CLcs.AIcs.CVarXiv:1505.01809v32015
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin +1
cs.LGcs.AIstat.MLarXiv:2005.04269v12020
The Hardware Lottery
Sara Hooker
cs.CYcs.AIcs.ARarXiv:2009.06489v22020
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Taicheng Guo, Kehan Guo, Bozhao Nan +5
cs.CLcs.AIarXiv:2305.18365v32023
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding
Ziang Xiao, Xingdi Yuan, Q. Vera Liao +2
cs.CLcs.AIcs.HCarXiv:2304.10548v12023
A Symbolic Approach to Explaining Bayesian Network Classifiers
Andy Shih, Arthur Choi, Adnan Darwiche
cs.AIcs.LGarXiv:1805.03364v12018
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases
Wei Guo, Aylin Caliskan
cs.CYcs.AIcs.CLarXiv:2006.03955v52020
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk, Amy Zhang, Edward Grefenstette +1
cs.LGcs.AIarXiv:2111.09794v62021
Episodic Curiosity through Reachability
Nikolay Savinov, Anton Raichuk, Raphaël Marinier +4
cs.LGcs.AIcs.CVarXiv:1810.02274v52018
The KFIoU Loss for Rotated Object Detection
Xue Yang, Yue Zhou, Gefan Zhang +5
cs.CVcs.AIcs.LGarXiv:2201.12558v62022
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk, Dominique Beaini, Gabriele Corso +4
cs.LGcs.AIq-bio.BMarXiv:2110.04126v42021
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions
Licheng Yu, Hao Tan, Mohit Bansal +1
cs.CVcs.AIcs.CLarXiv:1612.09542v22016
Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming, Ziyang Cai, Jiuxiang Gu +3
cs.CVcs.AIcs.LGarXiv:2211.13445v12022
Active Example Selection for In-Context Learning
Yiming Zhang, Shi Feng, Chenhao Tan
cs.CLcs.AIarXiv:2211.04486v12022
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu, Hussein Sibai, Evan Fabry +1
cs.CVcs.AIcs.CRarXiv:1707.03501v12017
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies
Liangming Pan, Michael Saxon, Wenda Xu +3
cs.CLcs.AIcs.LGarXiv:2308.03188v22023
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Shah, H. Andrew Schwartz, Dirk Hovy
cs.CLcs.AIcs.LGarXiv:1912.11078v22019
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
Enneng Yang, Li Shen, Guibing Guo +4
cs.LGcs.AIcs.CLarXiv:2408.07666v52024
Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery
Qingyun Fang, Zhaokui Wang
cs.CVcs.AIeess.IVarXiv:2112.02991v12021
A Laplacian Framework for Option Discovery in Reinforcement Learning
Marlos C. Machado, Marc G. Bellemare, Michael Bowling
cs.LGcs.AIarXiv:1703.00956v22017
Learning to Act by Predicting the Future
Alexey Dosovitskiy, Vladlen Koltun
cs.LGcs.AIcs.CVarXiv:1611.01779v22016
Continual Unsupervised Representation Learning
Dushyant Rao, Francesco Visin, Andrei A. Rusu +3
cs.LGcs.AIcs.CVarXiv:1910.14481v12019
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
Pouya Pezeshkpour, Estevam Hruschka
cs.CLcs.AIcs.LGarXiv:2308.11483v12023
A Survey of Domain Adaptation for Neural Machine Translation
Chenhui Chu, Rui Wang
cs.CLcs.AIcs.LGarXiv:1806.00258v12018
RADAR: Robust AI-Text Detection via Adversarial Learning
Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
cs.CLcs.AIcs.LGarXiv:2307.03838v22023
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Fangyu Lei, Jixuan Chen, Yuxiao Ye +13
cs.CLcs.AIcs.DBarXiv:2411.07763v22024
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Chandra Thapa, Seyit Camtepe
cs.CRcs.AIarXiv:2008.10733v12020
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
Harsh Trivedi, Tushar Khot, Mareike Hartmann +6
cs.SEcs.AIcs.CLarXiv:2407.18901v12024
Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
Junkai Li, Yunghwei Lai, Weitao Li +8
cs.AIarXiv:2405.02957v32024
Dopamine: A Research Framework for Deep Reinforcement Learning
Pablo Samuel Castro, Subhodeep Moitra, Carles Gelada +2
cs.LGcs.AIarXiv:1812.06110v12018
Towards Generalization and Simplicity in Continuous Control
Aravind Rajeswaran, Kendall Lowrey, Emanuel Todorov +1
cs.LGcs.AIcs.ROarXiv:1703.02660v22017
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann +4
stat.MLcs.AIcs.LGarXiv:1611.04488v62016
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian +2
cs.CLcs.AIarXiv:2012.00614v22020
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu, Wentao Zhao, Chenxiao Yang +5
cs.LGcs.AIcs.SIarXiv:2306.10759v52023
A Large Self-Annotated Corpus for Sarcasm
Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli
cs.CLcs.AIcs.LGarXiv:1704.05579v42017
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15
cs.CLcs.AIcs.LGarXiv:2310.05189v22023
Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber
cs.LGcond-mat.dis-nncs.AIarXiv:2107.01188v22021
When LLMs Meet Cybersecurity: A Systematic Literature Review
Jie Zhang, Haoyu Bu, Hui Wen +7
cs.CRcs.AIarXiv:2405.03644v22024
TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials
Philipp Thölke, Gianni De Fabritiis
cs.LGcs.AIphysics.chem-pharXiv:2202.02541v22022
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty +3
cs.LGcs.AIcs.CRarXiv:1805.11090v32018

Artificial Intelligence

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

Multilingual Speech Recognition With A Single End-To-End Model

Predicting the Computational Cost of Deep Learning Models

Deep Reinforcement Learning and the Deadly Triad

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

"Other-Play" for Zero-Shot Coordination

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

AugGPT: Leveraging ChatGPT for Text Data Augmentation

Language Models for Image Captioning: The Quirks and What Works

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

The Hardware Lottery

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding

A Symbolic Approach to Explaining Bayesian Network Classifiers

Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Episodic Curiosity through Reachability

The KFIoU Loss for Rotated Object Detection

3D Infomax improves GNNs for Molecular Property Prediction

A Joint Speaker-Listener-Reinforcer Model for Referring Expressions

Delving into Out-of-Distribution Detection with Vision-Language Representations

Active Example Selection for In-Context Learning

NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles

Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery

A Laplacian Framework for Option Discovery in Reinforcement Learning

Learning to Act by Predicting the Future

Continual Unsupervised Representation Learning

Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions

A Survey of Domain Adaptation for Neural Machine Translation

RADAR: Robust AI-Text Detection via Adversarial Learning

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy

AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents

Dopamine: A Research Framework for Deep Reinforcement Learning

Towards Generalization and Simplicity in Continuous Control

Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy

CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations

A Large Self-Annotated Corpus for Sarcasm

Factuality Challenges in the Era of Large Language Models

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

When LLMs Meet Cybersecurity: A Systematic Literature Review

TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization