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In-Context Learning

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Showing 1101–1150 of 2297 papers

TitleStatusHype
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for DialogueCode0
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules—0
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning—0
ThatiAR: Subjectivity Detection in Arabic News Sentences—0
Retrieval & Fine-Tuning for In-Context Tabular Models—0
TabPFGen -- Tabular Data Generation with TabPFNCode1
Large Language Model-guided Document Selection—0
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationCode0
BERTs are Generative In-Context LearnersCode1
Scenarios and Approaches for Situated Natural Language Explanations—0
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models—0
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following—0
Aligning Large Language Models with Self-generated Preference Data—0
What Do Language Models Learn in Context? The Structured Task HypothesisCode1
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation—0
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning—0
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical PerspectiveCode0
Improving In-Context Learning with Prediction Feedback for Sentiment AnalysisCode0
StatBot.Swiss: Bilingual Open Data Exploration in Natural Language—0
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers—0
Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion—0
Seed-TTS: A Family of High-Quality Versatile Speech Generation ModelsCode7
Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis—0
Eliciting the Priors of Large Language Models using Iterated In-Context Learning—0
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory—0
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasksCode1
Generative Pre-trained Speech Language Model with Efficient Hierarchical TransformerCode2
Guiding ChatGPT to Generate Salient Domain SummariesCode0
Demonstration Augmentation for Zero-shot In-context LearningCode0
In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs—0
Selectively Answering Visual Questions—0
Universal In-Context Approximation By Prompting Fully Recurrent ModelsCode0
Is In-Context Learning in Large Language Models Bayesian? A Martingale PerspectiveCode0
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement LearningCode1
Controlling Large Language Model Agents with Entropic Activation Steering—0
Mamba State-Space Models Are Lyapunov-Stable Learners—0
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When—0
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based RankingCode0
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN ManipulationCode0
The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes—0
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-ThoughtCode1
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference HeadsCode0
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems—0
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
Why Larger Language Models Do In-context Learning Differently?—0
Does learning the right latent variables necessarily improve in-context learning?Code0
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting—0
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification—0
A Theoretical Understanding of Self-Correction through In-context Alignment—0
EgoNCE++: Do Egocentric Video-Language Models Really Understand Hand-Object Interactions?Code1
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