SOTAVerified

In-Context Learning

Papers

Showing 401425 of 2297 papers

TitleStatusHype
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive AgentsCode1
Not All Demonstration Examples are Equally Beneficial: Reweighting Demonstration Examples for In-Context LearningCode1
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingCode1
OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language ModelsCode1
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language ModelsCode1
SALMON: Self-Alignment with Instructable Reward ModelsCode1
In-Context Explainers: Harnessing LLMs for Explaining Black Box ModelsCode1
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language ModelsCode1
Ada-Instruct: Adapting Instruction Generators for Complex ReasoningCode1
An In-Context Learning Agent for Formal Theorem-ProvingCode1
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningCode1
Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsCode1
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context LearningCode1
Improving Planning with Large Language Models: A Modular Agentic ArchitectureCode1
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting MethodCode1
Benchmarking Cognitive Biases in Large Language Models as EvaluatorsCode1
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot GenerationCode1
Language Modeling Is CompressionCode1
Understanding Catastrophic Forgetting in Language Models via Implicit InferenceCode1
Hypothesis Search: Inductive Reasoning with Language ModelsCode1
Code-Style In-Context Learning for Knowledge-Based Question AnsweringCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Taken out of context: On measuring situational awareness in LLMsCode1
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question AnsweringCode1
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