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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24,601 to 24,660 of 119,683

Core Knowledge Deficits in Multi-Modal Language Models
Yijiang Li, Qingying Gao, Tianwei Zhao +8
cs.CLcs.AIcs.CVarXiv:2410.10855v42024
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu +5
cs.AIcs.CLarXiv:2410.12881v22024
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention
Dejia Xu, Yifan Jiang, Chen Huang +5
cs.CVarXiv:2410.10774v12024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
Hao Ma, Tianyi Hu, Zhiqiang Pu +4
cs.AIcs.MAarXiv:2410.06101v22024
Language Imbalance Driven Rewarding for Multilingual Self-improving
Wen Yang, Junhong Wu, Chen Wang +2
cs.CLcs.AIarXiv:2410.08964v32024
IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
Shubham Ugare, Rohan Gumaste, Tarun Suresh +2
cs.SEcs.LGcs.PLarXiv:2410.07295v22024
FakeMusicCaps: a Dataset for Detection and Attribution of Synthetic Music Generated via Text-to-Music Models
Luca Comanducci, Paolo Bestagini, Stefano Tubaro
eess.AScs.SDarXiv:2409.10684v22024
Granular Ball Twin Support Vector Machine
A. Quadir, M. Sajid, M. Tanveer
cs.LGarXiv:2410.04774v32024
Probing Mechanical Reasoning in Large Vision Language Models
Haoran Sun, Qingying Gao, Haiyun Lyu +3
cs.AIq-bio.NCarXiv:2410.00318v42024
An Overview of the Burer-Monteiro Method for Certifiable Robot Perception
Alan Papalia, Yulun Tian, David M. Rosen +2
cs.ROcs.CVcs.LGarXiv:2410.00117v22024
Illustrious: an Open Advanced Illustration Model
Sang Hyun Park, Jun Young Koh, Junha Lee +5
cs.CVarXiv:2409.19946v12024
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
Qidong Liu, Xian Wu, Wanyu Wang +5
cs.IRcs.CLarXiv:2409.19925v22024
Results of the Big ANN: NeurIPS'23 competition
Harsha Vardhan Simhadri, Martin Aumüller, Amir Ingber +20
cs.IRcs.DScs.LGarXiv:2409.17424v12024
Synthetic continued pretraining
Zitong Yang, Neil Band, Shuangping Li +2
cs.LGcs.AIcs.CLarXiv:2409.07431v22024
Generative Recommender with End-to-End Learnable Item Tokenization
Enze Liu, Bowen Zheng, Cheng Ling +3
cs.IRarXiv:2409.05546v32024
Advance and Refinement: The Evolution of UAV Detection and Classification Technologies
Vladislav Semenyuk, Ildar Kurmashev, Alberto Lupidi +3
cs.CVeess.SParXiv:2409.05985v12024
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation
Zhenzhi Wang, Yixuan Li, Yanhong Zeng +8
cs.CVcs.AIcs.LGarXiv:2407.17438v32024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
Xiaoyu Kong, Jiancan Wu, An Zhang +4
cs.IRcs.AIarXiv:2408.10159v42024
DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction
Jenny Seidenschwarz, Qunjie Zhou, Bardienus Duisterhof +2
cs.CVarXiv:2409.02104v22024
Energy Estimation of Last Mile Electric Vehicle Routes
André Snoeck, Aniruddha Bhargava, Daniel Merchan +2
cs.LGarXiv:2408.12006v12024
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
Zhiwei Liu, Weiran Yao, Jianguo Zhang +12
cs.AIarXiv:2308.05960v12023
The Generalization Gap in Offline Reinforcement Learning
Ishita Mediratta, Qingfei You, Minqi Jiang +1
cs.LGcs.AIarXiv:2312.05742v22023
Fast and Certifiable Trajectory Optimization
Shucheng Kang, Xiaoyang Xu, Jay Sarva +2
math.OCcs.ROarXiv:2406.05846v32024
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
Taosha Fan, Joseph Ortiz, Ming Hsiao +4
cs.CVcs.ROmath.OCarXiv:2305.07026v32023
Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization
Heng Yang, Luca Carlone
cs.CVcs.ROmath.OCarXiv:2109.03349v22021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions
Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum +1
cs.LGcs.AIarXiv:2111.14629v12021
Segment Anything in Medical Images and Videos: Benchmark and Deployment
Jun Ma, Sumin Kim, Feifei Li +4
eess.IVcs.CVarXiv:2408.03322v12024
Interactive AI Alignment: Specification, Process, and Evaluation Alignment
Michael Terry, Chinmay Kulkarni, Martin Wattenberg +2
cs.HCcs.AIarXiv:2311.00710v22023
Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints
Yulun Tian, Kasra Khosoussi, Jonathan P. How
math.OCcs.LGarXiv:1903.00597v42019
Can Editing LLMs Inject Harm?
Canyu Chen, Baixiang Huang, Zekun Li +12
cs.CLarXiv:2407.20224v42024
Investigating Critical Period Effects in Language Acquisition through Neural Language Models
Ionut Constantinescu, Tiago Pimentel, Ryan Cotterell +1
cs.CLarXiv:2407.19325v22024
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
Zihua Si, Lin Guan, ZhongXiang Sun +12
cs.IRcs.AIarXiv:2407.16357v22024
Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation
Biqing Qi, Kaiyan Zhang, Kai Tian +6
cs.CLarXiv:2407.08940v22024
A Framework For Discussing LLMs as Tools for Qualitative Analysis
James Eschrich, Sarah Sterman
cs.HCarXiv:2407.11198v12024
Image Conductor: Precision Control for Interactive Video Synthesis
Yaowei Li, Xintao Wang, Zhaoyang Zhang +5
cs.CVcs.AIcs.MMarXiv:2406.15339v12024
Characterizing Prompt Compression Methods for Long Context Inference
Siddharth Jha, Lutfi Eren Erdogan, Sehoon Kim +2
cs.CLcs.LGarXiv:2407.08892v12024
Autoregressive Speech Synthesis without Vector Quantization
Lingwei Meng, Long Zhou, Shujie Liu +9
cs.CLcs.SDeess.ASarXiv:2407.08551v22024
Language Representations Can be What Recommenders Need: Findings and Potentials
Leheng Sheng, An Zhang, Yi Zhang +3
cs.IRcs.AIarXiv:2407.05441v42024
Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense
Qi Zhou, Zipeng Ye, Yubo Tang +3
cs.CRcs.AIarXiv:2407.05396v22024
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Daixuan Cheng, Yuxian Gu, Shaohan Huang +3
cs.CLarXiv:2406.14491v22024
Toward Optimal LLM Alignments Using Two-Player Games
Rui Zheng, Hongyi Guo, Zhihan Liu +10
cs.CLcs.AIarXiv:2406.10977v12024
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models
Yuxuan Wang, Yueqian Wang, Dongyan Zhao +2
cs.CVarXiv:2406.16338v12024
Language Alignment via Nash-learning and Adaptive feedback
Ari Azarafrooz, Farshid Faal
cs.LGcs.AIcs.CLarXiv:2406.15890v12024
Carbon accounting in the Cloud: a methodology for allocating emissions across data center users
Ian Schneider, Taylor Mattia
cs.SEarXiv:2406.09645v12024
Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?
Rui Xu, Xintao Wang, Jiangjie Chen +6
cs.AIarXiv:2404.12138v22024
Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization
Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot
cs.ROarXiv:2406.02365v52024
MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors
Qingming Liu, Yuan Liu, Jiepeng Wang +4
cs.CVarXiv:2406.00434v42024
Is Value Learning Really the Main Bottleneck in Offline RL?
Seohong Park, Kevin Frans, Sergey Levine +1
cs.LGcs.AIarXiv:2406.09329v22024
Position: Towards Bidirectional Human-AI Alignment
Hua Shen, Tiffany Knearem, Reshmi Ghosh +21
cs.HCcs.AIcs.CLarXiv:2406.09264v42024
Tell Me What's Next: Textual Foresight for Generic UI Representations
Andrea Burns, Kate Saenko, Bryan A. Plummer
cs.CVcs.CLarXiv:2406.07822v22024
Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion
Fangfu Liu, Hanyang Wang, Shunyu Yao +3
cs.CVcs.AIcs.GRarXiv:2406.04338v32024
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models
Xiang Ji, Sanjeev Kulkarni, Mengdi Wang +1
cs.LGcs.AIcs.CLarXiv:2406.04274v12024
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
Yang Zhang, Keqin Bao, Ming Yan +3
cs.IRarXiv:2406.03210v12024
Witnet: A Decentralized Oracle Network Protocol
Adán Sánchez de Pedro, Daniele Levi, Luis Iván Cuende
cs.CRcs.DCarXiv:1711.09756v12017
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
Dinghuai Zhang, Kartik Ahuja, Yilun Xu +2
cs.LGstat.MLarXiv:2106.02890v12021
Low-Complexity Probing via Finding Subnetworks
Steven Cao, Victor Sanh, Alexander M. Rush
cs.CLarXiv:2104.03514v12021
ReVideo: Remake a Video with Motion and Content Control
Chong Mou, Mingdeng Cao, Xintao Wang +3
cs.CVarXiv:2405.13865v12024
Direct Preference Optimization With Unobserved Preference Heterogeneity: The Necessity of Ternary Preferences
Keertana Chidambaram, Karthik Vinay Seetharaman, Vasilis Syrgkanis
cs.LGarXiv:2405.15065v22024
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
Haoran Sun, Yurong Chen, Siwei Wang +3
cs.GTarXiv:2405.16276v42024
The Laws of Physics and Cryptographic Security
Terry Rudolph
quant-pharXiv:quant-ph/0202143v12002

Every paper with a summary

Core Knowledge Deficits in Multi-Modal Language Models

MIND: Math Informed syNthetic Dialogues for Pretraining LLMs

Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning

Language Imbalance Driven Rewarding for Multilingual Self-improving

IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking

FakeMusicCaps: a Dataset for Detection and Attribution of Synthetic Music Generated via Text-to-Music Models

Granular Ball Twin Support Vector Machine

Probing Mechanical Reasoning in Large Vision Language Models

An Overview of the Burer-Monteiro Method for Certifiable Robot Perception

Illustrious: an Open Advanced Illustration Model

LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

Results of the Big ANN: NeurIPS'23 competition

Synthetic continued pretraining

Generative Recommender with End-to-End Learnable Item Tokenization

Advance and Refinement: The Evolution of UAV Detection and Classification Technologies

HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

Customizing Language Models with Instance-wise LoRA for Sequential Recommendation

DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction

Energy Estimation of Last Mile Electric Vehicle Routes

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

The Generalization Gap in Offline Reinforcement Learning

Fast and Certifiable Trajectory Optimization

Decentralization and Acceleration Enables Large-Scale Bundle Adjustment

Certifiably Optimal Outlier-Robust Geometric Perception: Semidefinite Relaxations and Scalable Global Optimization

Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions

Segment Anything in Medical Images and Videos: Benchmark and Deployment

Interactive AI Alignment: Specification, Process, and Evaluation Alignment

Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints

Can Editing LLMs Inject Harm?

Investigating Critical Period Effects in Language Acquisition through Neural Language Models

TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

A Framework For Discussing LLMs as Tools for Qualitative Analysis

Image Conductor: Precision Control for Interactive Video Synthesis

Characterizing Prompt Compression Methods for Long Context Inference

Autoregressive Speech Synthesis without Vector Quantization

Language Representations Can be What Recommenders Need: Findings and Potentials

Evolutionary Trigger Detection and Lightweight Model Repair Based Backdoor Defense

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Toward Optimal LLM Alignments Using Two-Player Games

VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models

Language Alignment via Nash-learning and Adaptive feedback

Carbon accounting in the Cloud: a methodology for allocating emissions across data center users

Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?

Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization

MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors

Is Value Learning Really the Main Bottleneck in Offline RL?

Position: Towards Bidirectional Human-AI Alignment

Tell Me What's Next: Textual Foresight for Generic UI Representations

Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusion

Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation

Witnet: A Decentralized Oracle Network Protocol

Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?

Low-Complexity Probing via Finding Subnetworks

ReVideo: Remake a Video with Motion and Content Control

Direct Preference Optimization With Unobserved Preference Heterogeneity: The Necessity of Ternary Preferences

Mechanism Design for LLM Fine-tuning with Multiple Reward Models

The Laws of Physics and Cryptographic Security