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전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
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Maximizing Confidence Alone Improves Reasoning
Pre-training for Recommendation Unlearning
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
On the performance of machine-learning-assisted Monte Carlo in sampling from simple statistical physics models
Agent-UniRAG: A Trainable Open-Source LLM Agent Framework for Unified Retrieval-Augmented Generation Systems
Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting
Skywork Open Reasoner 1 Technical Report
Speculative Decoding Meets Quantization: Compatibility Evaluation and Hierarchical Framework Design
DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation
Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation
Scaling Up Liquid-Resistance Liquid-Capacitance Networks for Efficient Sequence Modeling
Is Attention Required for Transformer Inference? Explore Function-preserving Attention Replacement
VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining
Hume: Introducing System-2 Thinking in Visual-Language-Action Model
DeSocial: Blockchain-based Decentralized Social Networks
Subgroups Matter for Robust Bias Mitigation
Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection
Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language Models
The challenge of hidden gifts in multi-agent reinforcement learning
Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models
Risk-aware Direct Preference Optimization under Nested Risk Measure
Surrogate-Assisted Evolutionary Reinforcement Learning Based on Autoencoder and Hyperbolic Neural Network
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control
BroadGen: A Framework for Generating Effective and Efficient Advertiser Broad Match Keyphrase Recommendations
Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects
How We Won the ISLES'24 Challenge by Preprocessing
SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training
Seek-CAD: A Self-refined Generative Modeling for 3D Parametric CAD Using Local Inference via DeepSeek
Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective
OrionBench: A Benchmark for Chart and Human-Recognizable Object Detection in Infographics
EarthSE: A Benchmark Evaluating Earth Scientific Exploration Capability for Large Language Models
CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark
Beyond Face Swapping: A Diffusion-Based Digital Human Benchmark for Multimodal Deepfake Detection
Edge-First Language Model Inference: Models, Metrics, and Tradeoffs
Smaller, Smarter, Closer: The Edge of Collaborative Generative AI
YESciEval: Robust LLM-as-a-Judge for Scientific Question Answering
DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models
Articulatory Feature Prediction from Surface EMG during Speech Production
Exploring Spatiotemporal Emotional Synchrony in Dyadic Interactions: The Role of Speech Conditions in Facial and Vocal Affective Alignment
LEXam: Benchmarking Legal Reasoning on 340 Law Exams
Neural Networks as Universal Finite-State Machines: A Constructive Deterministic Finite Automaton Theory
The Geometry of ReLU Networks through the ReLU Transition Graph
RepCali: High Efficient Fine-tuning Via Representation Calibration in Latent Space for Pre-trained Language Models
Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage
Multimodal Survival Modeling in the Age of Foundation Models
Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation
The Aloe Family Recipe for Open and Specialized Healthcare LLMs
To Judge or not to Judge: Using LLM Judgements for Advertiser Keyphrase Relevance at eBay
LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban Scenarios
Learning to Reason under Off-Policy Guidance
A Combinatorial Theory of Dropout: Subnetworks, Graph Geometry, and Generalization
Error Broadcast and Decorrelation as a Potential Artificial and Natural Learning Mechanism
Carbon-Efficient 3D DNN Acceleration: Optimizing Performance and Sustainability
Agentic Knowledgeable Self-awareness
Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified?
MiZero: The Shadowy Defender Against Text Style Infringements
Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
LEAVS: An LLM-based Labeler for Abdominal CT Supervision
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration
Enhancing Retrieval for ESGLLM via ESG-CID -- A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
Aligning Text to Image in Diffusion Models is Easier Than You Think
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance
Audio Visual Segmentation Through Text Embeddings
Privacy-Aware Joint DNN Model Deployment and Partitioning Optimization for Collaborative Edge Inference Services
Learning to Reason from Feedback at Test-Time
ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
STeCa: Step-level Trajectory Calibration for LLM Agent Learning
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
Enhancing Semi-supervised Learning with Zero-shot Pseudolabels
DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing
Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource Languages
Jailbreaking to Jailbreak
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance
Toward universal steering and monitoring of AI models
SPRI: Aligning Large Language Models with Context-Situated Principles
MedRAX: Medical Reasoning Agent for Chest X-ray
Adaptive Exploration for Multi-Reward Multi-Policy Evaluation
Wake-Informed 3D Path Planning for Autonomous Underwater Vehicles Using A* and Neural Network Approximations
Fast Large Language Model Collaborative Decoding via Speculation
A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
Joint Localization and Activation Editing for Low-Resource Fine-Tuning
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic Interpretability
Chain of Grounded Objectives: Bridging Process and Goal-oriented Prompting for Code Generation
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment
Tensor Product Attention Is All You Need
VideoRAG: Retrieval-Augmented Generation over Video Corpus
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