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TitleStatusHype
ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object DetectionCode4
WhisperNER: Unified Open Named Entity and Speech RecognitionCode3
Large Language Models Are Human-Level Prompt EngineersCode3
β-DPO: Direct Preference Optimization with Dynamic βCode2
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World KnowledgeCode2
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
Self-supervised Dataset Distillation: A Good Compression Is All You NeedCode2
Active Generalized Category DiscoveryCode2
ICYM2I: The illusion of multimodal informativeness under missingnessCode1
WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article GenerationCode1
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
PA-RAG: RAG Alignment via Multi-Perspective Preference OptimizationCode1
DTELS: Towards Dynamic Granularity of Timeline SummarizationCode1
Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language ModelsCode1
Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog GenerationCode1
Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular ResearchCode1
Bridging and Modeling Correlations in Pairwise Data for Direct Preference OptimizationCode1
Revisiting Sparse Rewards for Goal-Reaching Reinforcement LearningCode1
Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesCode1
Markovian Transformers for Informative Language ModelingCode1
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language ModelsCode1
Rethinking How to Evaluate Language Model JailbreakCode1
Distribution-Aware Data Expansion with Diffusion ModelsCode1
DeepEdit: Knowledge Editing as Decoding with ConstraintsCode1
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain ShiftsCode1
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive TasksCode1
Causality-Inspired Fair Representation Learning for Multimodal RecommendationCode1
A comprehensive survey on deep active learning in medical image analysisCode1
InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue SystemsCode1
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational AgentsCode1
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge GeneratorsCode1
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with AttributionCode1
Divide and Adapt: Active Domain Adaptation via Customized LearningCode1
On information captured by neural networks: connections with memorization and generalizationCode1
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informationCode1
Summarizing Stream Data for Memory-Constrained Online Continual LearningCode1
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationCode1
Coverage-based Example Selection for In-Context LearningCode1
Prompting Language-Informed Distribution for Compositional Zero-Shot LearningCode1
Multimodal Procedural Planning via Dual Text-Image PromptingCode1
ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessCode1
EvalRS 2023. Well-Rounded Recommender Systems For Real-World DeploymentsCode1
Uncertainty Estimation by Fisher Information-based Evidential Deep LearningCode1
Long Text and Multi-Table Summarization: Dataset and MethodCode1
Exploring Active 3D Object Detection from a Generalization PerspectiveCode1
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object DetectionCode1
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
Task-Oriented Communication for Edge Video AnalyticsCode1
Dataset Factorization for CondensationCode1
Dataset Distillation via FactorizationCode1
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