SOTAVerified

In-Context Learning

Papers

Showing 18761900 of 2297 papers

TitleStatusHype
Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective TasksCode0
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPTCode0
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context LearningCode0
The Hidden Strength of Disagreement: Unraveling the Consensus-Diversity Tradeoff in Adaptive Multi-Agent SystemsCode0
Asymptotic theory of in-context learning by linear attentionCode0
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based RankingCode0
LLMs Are Few-Shot In-Context Low-Resource Language LearnersCode0
Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context LearningCode0
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional AnalysisCode0
Evaluating Step-by-Step Reasoning through Symbolic VerificationCode0
RUIE: Retrieval-based Unified Information Extraction using Large Language ModelCode0
Large Language Models Are Partially Primed in Pronoun InterpretationCode0
Large Language Models are Biased Reinforcement LearnersCode0
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningCode0
Explore Spurious Correlations at the Concept Level in Language Models for Text ClassificationCode0
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel TasksCode0
Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment AnalysisCode0
Exploring Self-supervised Logic-enhanced Training for Large Language ModelsCode0
EXPLORA: Efficient Exemplar Subset Selection for Complex ReasoningCode0
Language Models are Better Bug Detector Through Code-Pair ClassificationCode0
LaiDA: Linguistics-aware In-context Learning with Data Augmentation for Metaphor Components IdentificationCode0
KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue CorpusCode0
A Study on the Calibration of In-context LearningCode0
JMI at SemEval 2024 Task 3: Two-step approach for multimodal ECAC using in-context learning with GPT and instruction-tuned Llama modelsCode0
The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning CapabilitiesCode0
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