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TitleStatusHype
MMMModal -- Multi-Images Multi-Audio Multi-turn Multi-Modal—0
Word Embeddings Revisited: Do LLMs Offer Something New?—0
Speculative Streaming: Fast LLM Inference without Auxiliary Models—0
Where is the answer? Investigating Positional Bias in Language Model Knowledge ExtractionCode0
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement—0
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models—0
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention—0
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model InferenceCode0
Question-Instructed Visual Descriptions for Zero-Shot Video Question AnsweringCode0
Understanding In-Context Learning with a Pelican Soup Framework—0
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning—0
Instruction Diversity Drives Generalization To Unseen Tasks—0
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language ModelCode2
Towards Uncovering How Large Language Model Works: An Explainability Perspective—0
PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter—0
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language ModelsCode1
Linear Transformers with Learnable Kernel Functions are Better In-Context ModelsCode2
Language Models with Conformal Factuality Guarantees—0
Analyzing the Roles of Language and Vision in Learning from Limited Data—0
Toward a Team of AI-made Scientists for Scientific Discovery from Gene Expression Data—0
ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical FeedbackCode2
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models—0
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language ModelsCode3
Any-Shift Prompting for Generalization over Distributions—0
Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General IntelligenceCode0
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