Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. 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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121 to 180 of 61,189

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use
Yirong Zeng, Xiao Ding, Yuxian Wang +8
cs.CLcs.AIcs.LGarXiv:2501.09766v52025
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Abulhair Saparov, He He
cs.CLarXiv:2210.01240v42022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long +3
cs.LGcs.AIcs.DCarXiv:2211.13009v12022
Curriculum Temperature for Knowledge Distillation
Zheng Li, Xiang Li, Lingfeng Yang +5
cs.CVarXiv:2211.16231v32022
Language Models as Agent Models
Jacob Andreas
cs.CLcs.MAarXiv:2212.01681v12022
Summaries:한국어
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic +26
cs.ETarXiv:2212.02872v12022
One-Stage Cascade Refinement Networks for Infrared Small Target Detection
Yimian Dai, Xiang Li, Fei Zhou +3
cs.CVarXiv:2212.08472v22022
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
Shengchao Liu, Weili Nie, Chengpeng Wang +6
cs.LGcs.CLq-bio.QMarXiv:2212.10789v32022
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
Song Lai, Haohan Zhao, Rong Feng +9
cs.LGcs.AIcs.CLarXiv:2507.05386v62025
Worst Case and Probabilistic Analysis of the 2-Opt Algorithm for the TSP
Matthias Englert, Heiko Röglin, Berthold Vöcking
cs.DSarXiv:2302.06889v12023
Learning Performance-Improving Code Edits
Alexander Shypula, Aman Madaan, Yimeng Zeng +7
cs.SEcs.AIcs.LGarXiv:2302.07867v52023
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Yang Chen, Hexiang Hu, Yi Luan +4
cs.CVcs.AIcs.CLarXiv:2302.11713v52023
Learning by Distilling Context
Charlie Snell, Dan Klein, Ruiqi Zhong
cs.CLcs.AIarXiv:2209.15189v12022
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra +2
cs.CVcs.GRarXiv:2303.08137v12023
GPT-4 Technical Report
OpenAI, Josh Achiam, Steven Adler +278
cs.CLcs.AIarXiv:2303.08774v62023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model
Jiwen Yu, Yinhuai Wang, Chen Zhao +2
cs.CVarXiv:2303.09833v12023
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Renrui Zhang, Jiaming Han, Chris Liu +7
cs.CVcs.AIcs.CLarXiv:2303.16199v32023
Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models
Alejandro Lopez-Lira, Yuehua Tang
q-fin.STcs.CLarXiv:2304.07619v62023
Phase transition in Random Circuit Sampling
A. Morvan, B. Villalonga, X. Mi +182
quant-pharXiv:2304.11119v22023
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Peng Gao, Jiaming Han, Renrui Zhang +9
cs.CVcs.AIcs.CLarXiv:2304.15010v12023
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao +4
cs.CVarXiv:2305.10415v62023
Enabling Large Language Models to Generate Text with Citations
Tianyu Gao, Howard Yen, Jiatong Yu +1
cs.CLcs.IRcs.LGarXiv:2305.14627v22023
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
Shuyu Yang, Yinan Zhou, Yaxiong Wang +3
cs.CVcs.MMarXiv:2306.02898v42023
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
Zilun Zhang, Tiancheng Zhao, Yulong Guo +1
cs.CVcs.AIcs.CLarXiv:2306.11300v52023
Matching Patients to Clinical Trials with Large Language Models
Qiao Jin, Zifeng Wang, Charalampos S. Floudas +7
cs.CLcs.AIarXiv:2307.15051v52023
Studying Large Language Model Generalization with Influence Functions
Roger Grosse, Juhan Bae, Cem Anil +14
cs.LGcs.CLstat.MLarXiv:2308.03296v12023
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah
cs.CVcs.LGarXiv:2309.16020v22023
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia +2
cs.CLcs.AIcs.CRarXiv:2310.06987v12023
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
Yuhan Liu, Hanchen Li, Yihua Cheng +11
cs.NIcs.LGarXiv:2310.07240v62023
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning
Yunlong Song, Angel Romero, Matthias Mueller +2
cs.ROcs.LGarXiv:2310.10943v22023
Linear Representations of Sentiment in Large Language Models
Curt Tigges, Oskar John Hollinsworth, Atticus Geiger +1
cs.LGcs.AIcs.CLarXiv:2310.15154v12023
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
Xuan Li, Zhanke Zhou, Jianing Zhu +3
cs.LGcs.CRarXiv:2311.03191v52023
Neural General Circulation Models for Weather and Climate
Dmitrii Kochkov, Janni Yuval, Ian Langmore +13
physics.ao-phcs.LGphysics.comp-pharXiv:2311.07222v32023
Gibbs Sampling with People
Peter M. C. Harrison, Raja Marjieh, Federico Adolfi +5
q-bio.NCcs.AIcs.CVarXiv:2008.02595v22020
Halo Formation in Warm Dark Matter Models
Paul Bode, Jeremiah P. Ostriker, Neil Turok
astro-pharXiv:astro-ph/0010389v32000
Large Language Models for Robotics: A Survey
Fanlong Zeng, Wensheng Gan, Zezheng Huai +5
cs.ROcs.AIarXiv:2311.07226v22023
Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning
Rohit Girdhar, Mannat Singh, Andrew Brown +7
cs.CVcs.AIcs.GRarXiv:2311.10709v22023
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data
Qifan Yu, Juncheng Li, Longhui Wei +6
cs.CVcs.AIarXiv:2311.13614v22023
VBench: Comprehensive Benchmark Suite for Video Generative Models
Ziqi Huang, Yinan He, Jiashuo Yu +13
cs.CVarXiv:2311.17982v12023
The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment
Mike Perkins, Leon Furze, Jasper Roe +1
cs.AIarXiv:2312.07086v22023
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Matthew Dahl, Varun Magesh, Mirac Suzgun +1
cs.CLcs.AIcs.CYarXiv:2401.01301v22024
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Shulin Zeng, Jun Liu, Guohao Dai +14
cs.ARcs.AIarXiv:2401.03868v22024
One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders
Minghao Luo, Liang Chen
cs.CLcs.AIarXiv:2606.13610v22026
i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
Boya Zeng, Tianze Luo, Shu Pu +4
cs.CVarXiv:2606.11289v12026
SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories
Zhuoyun Yu, Xin Xie, Wuguannan Yao +4
cs.CLcs.AIcs.LGarXiv:2606.01311v12026
Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode
Josef Chen
cs.ARcs.AIcs.DCarXiv:2605.30571v12026
The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
Eric Onyame, Runtao Zhou, Kowshik Thopalli +2
cs.CLcs.AIarXiv:2605.27901v12026
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
Aili Chen, Aonian Li, Baichuan Zhou +215
cs.AIcs.CLcs.LGarXiv:2605.26494v22026
Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization
Anmol Agarwal, Natalie Neamtu, Pranjal Aggarwal +6
cs.SEcs.AIcs.CLarXiv:2605.26457v12026
Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators
Zachary Novack, Stephen Brade, Haven Kim +8
cs.SDcs.AIcs.LGarXiv:2605.22717v12026
Forecasting Downstream Performance of LLMs With Proxy Metrics
Arkil Patel, Siva Reddy, Marius Mosbach +1
cs.CLcs.LGarXiv:2605.18607v12026
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
Zhongzhu Zhou, Donglin Zhuang, Jisen Li +4
cs.LGcs.AIcs.DCarXiv:2605.17757v12026
ALAS: Transactional and Dynamic Multi-Agent LLM Planning
Longling Geng, Edward Y. Chang
cs.MAarXiv:2511.03094v12025
A Categorical Quantum Logic
Samson Abramsky, Ross Duncan
quant-phcs.LOarXiv:quant-ph/0512114v12005
Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?
Yichen Feng, Yuetai Li, Chunjiang Liu +14
cs.CVcs.AIcs.HCarXiv:2605.12684v12026
Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning
Junhao Shen, Teng Zhang, Xiaoyan Zhao +1
cs.LGcs.CLarXiv:2605.10923v22026
MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents
Yining Chen, Jihao Zhao, Bo Tang +5
cs.CRcs.CLarXiv:2605.09530v32026
AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents
Nithin Somasekharan, Rabi Pathak, Manushri Dhanakoti +4
physics.flu-dyncs.AIarXiv:2605.06607v32026
Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe
Wenjin Hou, Shangpin Peng, Weinong Wang +13
cs.LGarXiv:2605.03677v22026
A Survey on Metaverse: Fundamentals, Security, and Privacy
Yuntao Wang, Zhou Su, Ning Zhang +4
cs.CRarXiv:2203.02662v42022

Every paper with a summary

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use

Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

Curriculum Temperature for Knowledge Distillation

Language Models as Agent Models

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference

One-Stage Cascade Refinement Networks for Infrared Small Target Detection

Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training

Worst Case and Probabilistic Analysis of the 2-Opt Algorithm for the TSP

Learning Performance-Improving Code Edits

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Learning by Distilling Context

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

GPT-4 Technical Report

FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models

Phase transition in Random Circuit Sampling

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Enabling Large Language Models to Generate Text with Citations

Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark

RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing

Matching Patients to Clinical Trials with Large Language Models

Studying Large Language Model Generalization with Influence Functions

GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving

Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning

Linear Representations of Sentiment in Large Language Models

DeepInception: Hypnotize Large Language Model to Be Jailbreaker

Neural General Circulation Models for Weather and Climate

Gibbs Sampling with People

Halo Formation in Warm Dark Matter Models

Large Language Models for Robotics: A Survey

Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data

VBench: Comprehensive Benchmark Suite for Video Generative Models

The AI Assessment Scale (AIAS): A Framework for Ethical Integration of Generative AI in Educational Assessment

Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs

One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders

i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models

SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories

Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode

The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Verus-SpecGym: An Agentic Environment for Evaluating Specification Autoformalization

Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators

Forecasting Downstream Performance of LLMs With Proxy Metrics

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization

ALAS: Transactional and Dynamic Multi-Agent LLM Planning

A Categorical Quantum Logic

Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning

MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents

AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents

Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe

A Survey on Metaverse: Fundamentals, Security, and Privacy