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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781 to 840 of 61,307

Harnessing Large Language Models for Training-free Video Anomaly Detection
Luca Zanella, Willi Menapace, Massimiliano Mancini +2
cs.CVarXiv:2404.01014v12024
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks
Yue Hu, Yuhang Zhang, Yanbing Wang +1
cs.AIarXiv:2304.11513v12023
Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference
Xiaowei Mao, Bowen Sui, Weijie Zhang +7
cs.CVcs.AIarXiv:2604.23724v42026
Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders
A. Martina Neuman, Dominik Dold, Philipp Christian Petersen
cs.NEcs.LGmath.FAarXiv:2404.04549v32024
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings
Mandy Guo, Qinlan Shen, Yinfei Yang +8
cs.CLarXiv:1807.11906v22018
Towards Automatic Concept-based Explanations
Amirata Ghorbani, James Wexler, James Zou +1
stat.MLcs.CVcs.LGarXiv:1902.03129v32019
Expressivity of Spiking Neural Networks
Manjot Singh, Adalbert Fono, Gitta Kutyniok
cs.NEarXiv:2308.08218v22023
Revisiting minimum description length complexity in overparameterized models
Raaz Dwivedi, Chandan Singh, Bin Yu +1
cs.LGcs.ITmath.STarXiv:2006.10189v42020
DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
Rishikesh Ranade, Mohammad Amin Nabian, Kaustubh Tangsali +4
cs.LGphysics.comp-pharXiv:2501.13350v12025
TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks
Qian Chen, Mohamed Elrefaie, Angela Dai +1
physics.flu-dyncs.LGarXiv:2503.17400v22025
A Tropical Approach to Neural Networks with Piecewise Linear Activations
Vasileios Charisopoulos, Petros Maragos
stat.MLcs.LGarXiv:1805.08749v22018
AgentInstruct: Toward Generative Teaching with Agentic Flows
Arindam Mitra, Luciano Del Corro, Guoqing Zheng +11
cs.AIcs.CLcs.LGarXiv:2407.03502v12024
Substructure Discovery Using Minimum Description Length and Background Knowledge
D. J. Cook, L. B. Holder
cs.AIarXiv:cs/9402102v11994
LaME: Learning to Think in Latent Space for Multimodal Embedding via Information Bottleneck
Peixi Wu, Biao Yang, Feipeng Ma +7
cs.CVarXiv:2606.13061v32026
Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion
Anum Afzal, Florian Matthes, Gal Chechik +1
cs.CLarXiv:2505.24362v22025
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
Mehran Kazemi, Quan Yuan, Deepti Bhatia +4
cs.CLcs.AIcs.LGarXiv:2306.07934v12023
SONAR: Sentence-Level Multimodal and Language-Agnostic Representations
Paul-Ambroise Duquenne, Holger Schwenk, Benoît Sagot
cs.CLarXiv:2308.11466v22023
Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline
Meng Lu, Ruochen Zhang, Carsten Eickhoff +1
cs.CLarXiv:2505.20546v22025
Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
Yanai Elazar, Shauli Ravfogel, Alon Jacovi +1
cs.CLarXiv:2006.00995v32020
Soft Tokens, Hard Truths
Natasha Butt, Ariel Kwiatkowski, Ismail Labiad +2
cs.CLcs.AIcs.LGarXiv:2509.19170v22025
SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens
Nikita Dragunov, Temurbek Rahmatullaev, Elizaveta Goncharova +5
cs.CLarXiv:2508.05305v22025
Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles
Kulin Shah, Nishanth Dikkala, Xin Wang +1
cs.LGcs.CLarXiv:2409.10502v12024
Monitoring Latent World States in Language Models with Propositional Probes
Jiahai Feng, Stuart Russell, Jacob Steinhardt
cs.CLcs.LGarXiv:2406.19501v22024
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning
Jifan Zhang, Lalit Jain, Yang Guo +9
cs.LGcs.AIcs.CLarXiv:2406.10522v22024
Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs
Bilal Chughtai, Alan Cooney, Neel Nanda
cs.LGcs.CLarXiv:2402.07321v12024
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space
Shahar Katz, Yonatan Belinkov, Mor Geva +1
cs.CLcs.AIcs.LGarXiv:2402.12865v12024
Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?
Chengzhi Zhong, Fei Cheng, Qianying Liu +5
cs.CLcs.AIarXiv:2408.10811v12024
Low-Rank Tensor Estimation from Nonlinear Observations: A Unified Framework
Junren Chen, Lijun Ding, Dong Xia +1
math.STcs.ITstat.MEarXiv:2510.16965v32025
Addition in Four Movements: Mapping Layer-wise Information Trajectories in LLMs
Yao Yan
cs.AIarXiv:2506.07824v22025
Learning with Challenges: Adaptive Difficulty-Aware Data Generation for Mobile GUI Agent Training
Linjia Kang, Zhimin Wang, Yongkang Zhang +5
cs.AIarXiv:2601.22781v12026
From Failure to Mastery: Generating Hard Samples for Tool-use Agents
Bingguang Hao, Zengzhuang Xu, Yuntao Wen +11
cs.CLarXiv:2601.01498v12026
Deep Research Pretraining via Predictive Navigation
Jiang Zhou, Zhiyuan Fan, Xing Wu +3
cs.CLarXiv:2608.00432v12026
MI9: An Integrated Runtime Governance Framework for Agentic AI
Charles L. Wang, Trisha Singhal, Ameya Kelkar +1
cs.AIcs.ETcs.MAarXiv:2508.03858v42025
Learning from Task Descriptions
Orion Weller, Nicholas Lourie, Matt Gardner +1
cs.CLarXiv:2011.08115v12020
Analytic Prediction of Isolated Forced Response Curves from Spectral Submanifolds
Sten Ponsioen, Tiemo Pedergnana, George Haller
math.DSnlin.CDarXiv:1812.06664v12018
Measuring Semantic Similarity by Latent Relational Analysis
Peter D. Turney
cs.LGcs.CLcs.IRarXiv:cs/0508053v12005
Nonlinear analysis of forced mechanical systems with internal resonance using spectral submanifolds, Part I: Periodic response and forced response curve
Mingwu Li, Shobhit Jain, George Haller
math.DSarXiv:2106.05162v22021
New Bounds for Zarankiewicz Numbers via Reinforced LLM Evolutionary Search
Jay Bhan, Nicole Nobili, Patrick Langer
cs.AImath.COarXiv:2605.01120v22026
SyGuS-Comp 2016: Results and Analysis
Rajeev Alur, Dana Fisman, Rishabh Singh +1
cs.SEcs.LGcs.LOarXiv:1611.07627v12016
TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning
Zhangchen Xu, Yuetai Li, Fengqing Jiang +4
cs.LGcs.AIcs.CLarXiv:2505.14625v22025
Brain-to-Text Decoding: A Non-invasive Approach via Typing
Jarod Lévy, Mingfang Zhang, Svetlana Pinet +4
eess.SPcs.AIcs.CLarXiv:2502.17480v12025
Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems
Taejin Park, Ivan Medennikov, Kunal Dhawan +6
eess.AScs.CLcs.LGarXiv:2409.06656v32024
PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models
Mingue Park, Jisung Hwang, Seungwoo Yoo +2
cs.LGarXiv:2512.20063v32025
Multi-Task Federated Reinforcement Learning with Adversaries
Aqeel Anwar, Arijit Raychowdhury
cs.LGcs.AIarXiv:2103.06473v12021
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Chaoyang He, Emir Ceyani, Keshav Balasubramanian +2
cs.LGarXiv:2106.02743v12021
SemGloVe: Semantic Co-occurrences for GloVe from BERT
Leilei Gan, Zhiyang Teng, Yue Zhang +3
cs.CLcs.AIarXiv:2012.15197v22020
Pointwise Complexity for Gaussian Fields: Upper Envelopes, Algorithmic Lower Bounds, and Separation
Yunbei Xu
math.PRcond-mat.stat-mechcs.ITarXiv:2606.07931v22026
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition
Fabien Baradel, Christian Wolf, Julien Mille
cs.CVarXiv:1703.10106v22017
Incorporating Visual Semantics into Sentence Representations within a Grounded Space
Patrick Bordes, Eloi Zablocki, Laure Soulier +2
cs.CLarXiv:2002.02734v12020
Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining
Houyi Li, Wenzhen Zheng, Qiufeng Wang +10
cs.LGcs.AIarXiv:2503.04715v72025
A Hybrid Model for Identity Obfuscation by Face Replacement
Qianru Sun, Ayush Tewari, Weipeng Xu +3
cs.CVcs.CRarXiv:1804.04779v22018
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
Jingcheng Deng, Zhongtao Jiang, Liang Pang +5
cs.CLarXiv:2502.11401v32025
Learn Before Represent: Bridging Generative and Contrastive Learning for Domain-Specific LLM Embeddings
Xiaoyu Liang, Yuchen Peng, Jiale Luo +3
cs.IRcs.AIarXiv:2601.11124v12026
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
Lanyun Zhu, Deyi Ji, Tianrun Chen +2
cs.CVarXiv:2510.02745v22025
Score Centering Stabilizes Off-policy Reinforcement Learning
Martin Marek, Max Ryabinin
cs.LGarXiv:2609.20807v12026
Summaries:简体中文
ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents
Yusheng Liao, Shuyang Jiang, Yanfeng Wang +1
cs.CLarXiv:2410.17657v32024
ViStoryBench: Comprehensive Benchmark Suite for Story Visualization
Cailin Zhuang, Ailin Huang, Yaoqi Hu +12
cs.CVarXiv:2505.24862v52025
Actor-Critic Sequence Training for Image Captioning
Li Zhang, Flood Sung, Feng Liu +4
cs.CVarXiv:1706.09601v22017
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
Junjie Zhou, Zheng Liu, Ze Liu +6
cs.CVcs.CLarXiv:2412.14475v12024
Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
An Vuong, Minh-Hao Van, Chen Zhao +1
cs.AIcond-mat.mtrl-sciarXiv:2606.01012v12026

Every paper with a summary

Harnessing Large Language Models for Training-free Video Anomaly Detection

Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks

Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference

Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders

Effective Parallel Corpus Mining using Bilingual Sentence Embeddings

Towards Automatic Concept-based Explanations

Expressivity of Spiking Neural Networks

Revisiting minimum description length complexity in overparameterized models

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations

TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks

A Tropical Approach to Neural Networks with Piecewise Linear Activations

AgentInstruct: Toward Generative Teaching with Agentic Flows

Substructure Discovery Using Minimum Description Length and Background Knowledge

LaME: Learning to Think in Latent Space for Multimodal Embedding via Information Bottleneck

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion

BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information

SONAR: Sentence-Level Multimodal and Language-Agnostic Representations

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline

Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals

Soft Tokens, Hard Truths

SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens

Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles

Monitoring Latent World States in Language Models with Propositional Probes

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space

Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?

Low-Rank Tensor Estimation from Nonlinear Observations: A Unified Framework

Addition in Four Movements: Mapping Layer-wise Information Trajectories in LLMs

Learning with Challenges: Adaptive Difficulty-Aware Data Generation for Mobile GUI Agent Training

From Failure to Mastery: Generating Hard Samples for Tool-use Agents

Deep Research Pretraining via Predictive Navigation

MI9: An Integrated Runtime Governance Framework for Agentic AI

Learning from Task Descriptions

Analytic Prediction of Isolated Forced Response Curves from Spectral Submanifolds

Measuring Semantic Similarity by Latent Relational Analysis

Nonlinear analysis of forced mechanical systems with internal resonance using spectral submanifolds, Part I: Periodic response and forced response curve

New Bounds for Zarankiewicz Numbers via Reinforced LLM Evolutionary Search

SyGuS-Comp 2016: Results and Analysis

TinyV: Reducing False Negatives in Verification Improves RL for LLM Reasoning

Brain-to-Text Decoding: A Non-invasive Approach via Typing

Sortformer: A Novel Approach for Permutation-Resolved Speaker Supervision in Speech-to-Text Systems

PairFlow: Closed-Form Source-Target Coupling for Few-Step Generation in Discrete Flow Models

Multi-Task Federated Reinforcement Learning with Adversaries

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks

SemGloVe: Semantic Co-occurrences for GloVe from BERT

Pointwise Complexity for Gaussian Fields: Upper Envelopes, Algorithmic Lower Bounds, and Separation

Pose-conditioned Spatio-Temporal Attention for Human Action Recognition

Incorporating Visual Semantics into Sentence Representations within a Grounded Space

Predictable Scale: Part I, Step Law -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining

A Hybrid Model for Identity Obfuscation by Face Replacement

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment

Learn Before Represent: Bridging Generative and Contrastive Learning for Domain-Specific LLM Embeddings

Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval

Score Centering Stabilizes Off-policy Reinforcement Learning

ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents

ViStoryBench: Comprehensive Benchmark Suite for Story Visualization

Actor-Critic Sequence Training for Image Captioning

MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach