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575,626 papers

Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints

Yaswanth Chittepu, Blossom Metevier, Will Schwarzer, Austin Hoag, Scott Niekum et al.

2025-06-09Safe Reinforcement Learning
PaperCode
Automatic Generation of Inference Making Questions for Reading Comprehension Assessments

Wanjing Anya Ma, Michael Flor, Zuowei Wang

2025-06-09Reading ComprehensionDiagnostic
PaperCode
Highly Compressed Tokenizer Can Generate Without Training

L. Lao Beyer, T. Li, X. Chen, S. Karaman, K. He et al.

2025-06-09QuantizationImage Generation
PaperCode
SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense

Patryk Krukowski, Łukasz Gorczyca, Piotr Helm, Kamil Książek, Przemysław Spurek et al.

2025-06-09Continual Learning
Paper
Parameter-free approximate equivariance for tasks with finite group symmetry

Riccardo Ali, Pietro Liò, Jamie Vicary

2025-06-09
PaperCode
Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim $\rightarrow$ Evidence Reasoning

Shashidhar Reddy Javaji, Yupeng Cao, Haohang Li, Yangyang Yu, Nikhil Muralidhar et al.

2025-06-09BenchmarkingDiagnostic
PaperCode
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions

Yu-Ang Lee, Guan-Ting Yi, Mei-Yi Liu, Jui-Chao Lu, Guan-Bo Yang et al.

2025-06-09Reinforcement Learning
PaperCode
Ensuring Reliability of Curated EHR-Derived Data: The Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework

Melissa Estevez, Nisha Singh, Lauren Dyson, Blythe Adamson, Qianyu Yuan et al.

2025-06-09FairnessBenchmarking
Paper
Scaling Laws of Motion Forecasting and Planning -- A Technical Report

Mustafa Baniodeh, Kratarth Goel, Scott Ettinger, Carlos Fuertes, Ari Seff et al.

2025-06-09Motion ForecastingAutonomous DrivingLanguage Modelling
Paper
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation

Andrew Z. Wang, Songwei Ge, Tero Karras, Ming-Yu Liu, Yogesh Balaji et al.

2025-06-09CVPR 2025 1Text-to-Image GenerationText to Image GenerationImage Generation
Paper
Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion Models in a Vision-Language-Action Framework

Huixin Zhan, Jason H. Moore

2025-06-09DenoisingVision-Language-Action
PaperCode
Unable to Forget: Proactive lnterference Reveals Working Memory Limits in LLMs Beyond Context Length

Chupei Wang, Jiaqiu Vince Sun

2025-06-09Prompt EngineeringInformation RetrievalRetrieval
Paper
Repeton: Structured Bug Repair with ReAct-Guided Patch-and-Test Cycles

Nguyen Phu Vinh, Anh Chung Hoang, Chris Ngo, Truong-Son Hy

2025-06-09Code GenerationRAG
Paper
Worst-Case Symbolic Constraints Analysis and Generalisation with Large Language Models

Daniel Koh, Yannic Noller, Corina S. Pasareanu, Adrians Skapars, Youcheng Sun et al.

2025-06-09Code Generation
Paper
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data

Sunny Gupta, Nikita Jangid, Amit Sethi

2025-06-09Federated Learning
Paper
A Metrics-Oriented Architectural Model to Characterize Complexity on Machine Learning-Enabled Systems

Renato Cordeiro Ferreira

2025-06-09
Paper
Ego-centric Learning of Communicative World Models for Autonomous Driving

Hang Wang, Dechen Gao, Junshan Zhang

2025-06-09Trajectory PlanningAutonomous DrivingMulti-agent Reinforcement Learning
Paper
Multilingual Hate Speech Detection in Social Media Using Translation-Based Approaches with Large Language Models

Muhammad Usman, Muhammad Ahmad, M. Shahiki Tash, Irina Gelbukh, Rolando Quintero Tellez et al.

2025-06-09Hate Speech Detection
Paper
Nearness of Neighbors Attention for Regression in Supervised Finetuning

Aviad Susman, Mayte Suárez-Fariñas, Joseph T Colonel

2025-06-09regressionPrediction
PaperCode
IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation

Oishee Bintey Hoque, Abhijin Adiga, Aniruddha Adiga, Siddharth Chaudhary, Madhav V. Marathe et al.

2025-06-09SegmentationSemantic Segmentation
Paper
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