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In-Context Learning

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Showing 1201–1250 of 2297 papers

TitleStatusHype
Disentangling Latent Shifts of In-Context Learning Through Self-Training—0
Exploring the Learning Capabilities of Language Models using LEVERWORLDS—0
Embedding-based statistical inference on generative models—0
From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems—0
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis—0
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!—0
TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o BenchmarksCode0
Unsupervised Human Preference Learning—0
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language ModelsCode0
Efficient Long-Form Speech Recognition for General Speech In-Context Learning—0
Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative CriterionCode0
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models—0
A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debates—0
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition—0
Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning?Code0
Making Text Embedders Few-Shot Learners—0
Do the Right Thing, Just Debias! Multi-Category Bias Mitigation Using LLMs—0
Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error CorrectionCode0
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational ReasoningCode0
PALLM: Evaluating and Enhancing PALLiative Care Conversations with Large Language ModelsCode0
Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science—0
Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions—0
Enhancing Advanced Visual Reasoning Ability of Large Language Models—0
One-shot World Models Using a Transformer Trained on a Synthetic PriorCode0
LLM for Everyone: Representing the Underrepresented in Large Language Models—0
Exploring Large Language Models for Product Attribute Value Identification—0
FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists—0
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels—0
ARTICLE: Annotator Reliability Through In-Context Learning—0
RUIE: Retrieval-based Unified Information Extraction using Large Language ModelCode0
In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator LearningCode0
LEMMo-Plan: LLM-Enhanced Learning from Multi-Modal Demonstration for Planning Sequential Contact-Rich Manipulation Tasks—0
Towards No-Code Programming of Cobots: Experiments with Code Synthesis by Large Code Models for Conversational Programming—0
Reasoning Graph Enhanced Exemplars Retrieval for In-Context LearningCode0
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis—0
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language ModelsCode0
Semformer: Transformer Language Models with Semantic Planning—0
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype DetectionCode0
SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition—0
SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQLCode0
From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs—0
Emo-DPO: Controllable Emotional Speech Synthesis through Direct Preference Optimization—0
AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMsCode0
Language Models "Grok" to Copy—0
LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation—0
LLM-based Weak Supervision Framework for Query Intent Classification in Video Search—0
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration ApproachCode0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
Quantifying and Enabling the Interpretability of CLIP-like Models—0
Inference is All You Need: Self Example Retriever for Cross-domain Dialogue State Tracking with ChatGPT—0
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