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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841 to 900 of 61,306

Reasoning Up the Instruction Ladder for Controllable Language Models
Zishuo Zheng, Vidhisha Balachandran, Chan Young Park +2
cs.CLcs.AIarXiv:2511.04694v52025
CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning
Hao Yu, Zhuokai Zhao, Shen Yan +7
cs.CVcs.AIcs.CLarXiv:2503.19900v12025
Simpler Context-Dependent Logical Forms via Model Projections
Reginald Long, Panupong Pasupat, Percy Liang
cs.CLarXiv:1606.05378v12016
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
Kejian Zhu, Zhuoran Jin, Hongbang Yuan +6
cs.CVcs.CLarXiv:2506.04141v22025
Active Learning for Convolutional Neural Networks: A Core-Set Approach
Ozan Sener, Silvio Savarese
stat.MLcs.CVcs.LGarXiv:1708.00489v42017
Personalized Federated Learning with Gaussian Processes
Idan Achituve, Aviv Shamsian, Aviv Navon +2
cs.LGstat.MLarXiv:2106.15482v22021
Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control
Jek Huang, Jeffery Hsia, Jiayi Sun +3
cs.AIcs.SEarXiv:2607.14890v12026
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
Yixin Liu, Guibin Zhang, Kun Wang +2
cs.AIarXiv:2507.21407v22025
MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?
Juyang Bai, Laixi Shi
cs.LGcs.MAarXiv:2606.23664v12026
q-Learning in Continuous Time
Yanwei Jia, Xun Yu Zhou
cs.LGcs.AIq-fin.CParXiv:2207.00713v42022
AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
Florian Grötschla, Luis Müller, Jan Tönshoff +2
cs.MAcs.LGarXiv:2507.08616v12025
Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval
Sangam Lee, Ryang Heo, SeongKu Kang +1
cs.IRarXiv:2503.23033v22025
ResearchTown: Simulator of Human Research Community
Haofei Yu, Zhaochen Hong, Zirui Cheng +5
cs.CLcs.LGarXiv:2412.17767v22024
DyFlow: Dynamic Workflow Framework for Agentic Reasoning
Yanbo Wang, Zixiang Xu, Yue Huang +9
cs.CLarXiv:2509.26062v12025
STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
Akash Bonagiri, Gerard Janno Anderias, Saee Patil +6
cs.LGcs.AIarXiv:2605.02122v22026
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
Zhensu Sun, Xiaoning Du, Fu Song +4
cs.SEcs.AIarXiv:2209.05948v32022
Order in the Court: Explainable AI Methods Prone to Disagreement
Michael Neely, Stefan F. Schouten, Maurits J. R. Bleeker +1
cs.LGcs.CLarXiv:2105.03287v32021
Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs
Sharath Naganna, Tanvir Ahmed Sijan, Uddipta Kalita
cs.CLarXiv:2607.16693v12026
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality
Xiaohan Ding, Honghao Chen, Xiangyu Zhang +2
cs.CVcs.AIcs.LGarXiv:2112.11081v22021
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney +1
cs.HCcs.LGcs.SEarXiv:2306.04930v32023
Summaries:한국어
State of the Art Control of Atari Games Using Shallow Reinforcement Learning
Yitao Liang, Marlos C. Machado, Erik Talvitie +1
cs.LGarXiv:1512.01563v22015
SoundReactor: Frame-level Online Video-to-Audio Generation
Koichi Saito, Julian Tanke, Christian Simon +7
cs.SDcs.LGeess.ASarXiv:2510.02110v12025
Fair and Diverse DPP-based Data Summarization
L. Elisa Celis, Vijay Keswani, Damian Straszak +3
cs.LGcs.CYcs.IRarXiv:1802.04023v12018
Bridging the Multilingual Safety Divide: Efficient, Culturally-Aware Alignment for Global South Languages
Somnath Banerjee, Rima Hazra, Animesh Mukherjee
cs.CLarXiv:2602.13867v12026
Racing Thoughts: Explaining Contextualization Errors in Large Language Models
Michael A. Lepori, Michael C. Mozer, Asma Ghandeharioun
cs.CLarXiv:2410.02102v22024
Progressive Distillation for Fast Sampling of Diffusion Models
Tim Salimans, Jonathan Ho
cs.LGcs.AIstat.MLarXiv:2202.00512v22022
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
Pratik Chaudhari, Anna Choromanska, Stefano Soatto +6
cs.LGarXiv:1611.01838v42016
Learning to Reason for Hallucination Span Detection
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula +7
cs.CLcs.AIcs.LGarXiv:2510.02173v22025
Continual Contrastive Learning for Image Classification
Zhiwei Lin, Yongtao Wang, Hongxiang Lin
cs.CVcs.AIarXiv:2107.01776v42021
WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition
Marius Bock, Hilde Kuehne, Kristof Van Laerhoven +1
cs.CVcs.HCarXiv:2304.05088v42023
R-Transformer: Recurrent Neural Network Enhanced Transformer
Zhiwei Wang, Yao Ma, Zitao Liu +1
cs.LGcs.CLcs.CVarXiv:1907.05572v12019
A Near-Linear Time Algorithm for the Chamfer Distance
Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram +2
cs.DScs.CGcs.GRarXiv:2307.03043v12023
LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs
Luis Ibanez-Lissen, Lorena Gonzalez-Manzano, Jose Maria de Fuentes +1
cs.CRcs.AIarXiv:2505.24451v12025
Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages
Anaelia Ovalle, Candace Ross, Sebastian Ruder +4
cs.CLarXiv:2512.22712v32025
GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark
Lotta Kiefer, Christoph Leiter, Sotaro Takeshita +2
cs.CLarXiv:2601.13711v22026
Lipschitz Bandits with Stochastic Delayed Feedback
Zhongxuan Liu, Yue Kang, Thomas C. M. Lee
cs.LGstat.MLarXiv:2510.00309v22025
Measuring training variability from stochastic optimization using robust nonparametric testing
Sinjini Banerjee, Tim Marrinan, Reilly Cannon +2
stat.MLcs.LGarXiv:2406.08307v22024
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
Devansh Arpit, Yingbo Zhou, Bhargava U. Kota +1
stat.MLcs.LGarXiv:1603.01431v62016
TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning
Christian Greisinger, Steffen Eger
cs.AIcs.CLcs.CVarXiv:2603.03072v32026
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ
Jonas Belouadi, Anne Lauscher, Steffen Eger
cs.CLcs.CVarXiv:2310.00367v22023
DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
Abhay Zala, Han Lin, Jaemin Cho +1
cs.CVcs.AIcs.CLarXiv:2310.12128v22023
Weight decay induces low-rank attention layers
Seijin Kobayashi, Yassir Akram, Johannes Von Oswald
cs.LGarXiv:2410.23819v12024
Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models
Jonggeun Lee, Woojung Song, Jongwook Han +2
cs.CLarXiv:2510.07248v32025
Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents
Utsav Garg, Sungjin Hong, Jason Jung +6
cs.AIcs.LGarXiv:2606.31648v12026
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess +1
cs.CLcs.AIarXiv:2404.03189v22024
General-purpose quantum circuit simulator with Projected Entangled-Pair States and the quantum supremacy frontier
Chu Guo, Yong Liu, Min Xiong +12
quant-phphysics.comp-pharXiv:1905.08394v32019
Quantum Teleportation-Inspired Algorithm for Sampling Large Random Quantum Circuits
Ming-Cheng Chen, Riling Li, Lin Gan +4
quant-pharXiv:1901.05003v12019
Online convex optimization in the bandit setting: gradient descent without a gradient
Abraham D. Flaxman, Adam Tauman Kalai, H. Brendan McMahan
cs.LGcs.CCarXiv:cs/0408007v12004
Multi-task Learning of Hierarchical Vision-Language Representation
Duy-Kien Nguyen, Takayuki Okatani
cs.CVarXiv:1812.00500v12018
Quantum Supremacy Is Both Closer and Farther than It Appears
Igor L. Markov, Aneeqa Fatima, Sergei V. Isakov +1
quant-phcs.DCcs.ETarXiv:1807.10749v32018
Clipping Noise Cancellation for OFDM and OFDMA Systems Using Compressed Sensing
Kee-Hoon Kim, Hosung Park, Jong-Seon No +1
cs.ITmath.ITarXiv:1110.4174v22011
Peak Reduction and Clipping Mitigation by Compressive Sensing
Ebrahim B. Al-Safadi, Tareq Y. Al-Naffouri
cs.ITmath.ITmath.STarXiv:1101.4335v12011
Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study
Tao Ge, Furu Wei, Ming Zhou
cs.CLcs.AIarXiv:1807.01270v52018
Improved lower bounds for the Shannon capacity of odd cycles
Nathaniel Itty, Christopher D. Rosin, Chase Carstensen +1
cs.ITcs.AIcs.DMarXiv:2607.21517v22026
DeepPermNet: Visual Permutation Learning
Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian +1
cs.CVarXiv:1704.02729v12017
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
Antti Koskela, Joonas Jälkö, Lukas Prediger +1
stat.MLcs.CRcs.LGarXiv:2006.07134v32020
Addressing Some Limitations of Transformers with Feedback Memory
Angela Fan, Thibaut Lavril, Edouard Grave +2
cs.LGcs.CLstat.MLarXiv:2002.09402v32020
Fair Adversarial Gradient Tree Boosting
Vincent Grari, Boris Ruf, Sylvain Lamprier +1
cs.LGcs.AIcs.CYarXiv:1911.05369v22019
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit, Fredrik D. Johansson, David Sontag
stat.MLcs.AIcs.LGarXiv:1606.03976v52016
The Degrees of Freedom of MIMO Interference Channels without State Information at Transmitters
Yan Zhu, Dongning Guo
cs.ITarXiv:1008.5196v22010

Every paper with a summary

Reasoning Up the Instruction Ladder for Controllable Language Models

CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning

Simpler Context-Dependent Logical Forms via Model Projections

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos

Active Learning for Convolutional Neural Networks: A Core-Set Approach

Personalized Federated Learning with Gaussian Processes

Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects

MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?

q-Learning in Continuous Time

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs

Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval

ResearchTown: Simulator of Human Research Community

DyFlow: Dynamic Workflow Framework for Agentic Reasoning

STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems

Order in the Court: Explainable AI Methods Prone to Disagreement

Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs

RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

State of the Art Control of Atari Games Using Shallow Reinforcement Learning

SoundReactor: Frame-level Online Video-to-Audio Generation

Fair and Diverse DPP-based Data Summarization

Bridging the Multilingual Safety Divide: Efficient, Culturally-Aware Alignment for Global South Languages

Racing Thoughts: Explaining Contextualization Errors in Large Language Models

Progressive Distillation for Fast Sampling of Diffusion Models

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

Learning to Reason for Hallucination Span Detection

Continual Contrastive Learning for Image Classification

WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition

R-Transformer: Recurrent Neural Network Enhanced Transformer

A Near-Linear Time Algorithm for the Chamfer Distance

LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs

Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages

GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark

Lipschitz Bandits with Stochastic Delayed Feedback

Measuring training variability from stochastic optimization using robust nonparametric testing

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks

TikZilla: Scaling Text-to-TikZ with High-Quality Data and Reinforcement Learning

AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ

DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning

Weight decay induces low-rank attention layers

Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models

Think in English, Answer in Korean: Efficient Adaptation of Multilingual Tool-Using Agents

The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models

General-purpose quantum circuit simulator with Projected Entangled-Pair States and the quantum supremacy frontier

Quantum Teleportation-Inspired Algorithm for Sampling Large Random Quantum Circuits

Online convex optimization in the bandit setting: gradient descent without a gradient

Multi-task Learning of Hierarchical Vision-Language Representation

Quantum Supremacy Is Both Closer and Farther than It Appears

Clipping Noise Cancellation for OFDM and OFDMA Systems Using Compressed Sensing

Peak Reduction and Clipping Mitigation by Compressive Sensing

Reaching Human-level Performance in Automatic Grammatical Error Correction: An Empirical Study

Improved lower bounds for the Shannon capacity of odd cycles

DeepPermNet: Visual Permutation Learning

Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT

Addressing Some Limitations of Transformers with Feedback Memory

Fair Adversarial Gradient Tree Boosting

Estimating individual treatment effect: generalization bounds and algorithms

The Degrees of Freedom of MIMO Interference Channels without State Information at Transmitters