Copertina

Are Emergent Abilities in Large Language Models just In-Context Learning?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lu, Sheng, Bigoulaeva, Irina, Sachdeva, Rachneet, Madabushi, Harish Tayyar, Gurevych, Iryna
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning Capabilities
di: Bigoulaeva, Irina, et al.
Pubblicazione: (2025)

FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models
di: Madabushi, Harish Tayyar
Pubblicazione: (2024)

Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning
di: Niu, Jingcheng, et al.
Pubblicazione: (2025)

Turning Logic Against Itself : Probing Model Defenses Through Contrastive Questions
di: Sachdeva, Rachneet, et al.
Pubblicazione: (2025)

Patches of Nonlinearity: Instruction Vectors in Large Language Models
di: Bigoulaeva, Irina, et al.
Pubblicazione: (2026)

CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration
di: Sachdeva, Rachneet, et al.
Pubblicazione: (2023)

SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2024)

Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
di: Puerto, Haritz, et al.
Pubblicazione: (2024)

Localizing and Mitigating Errors in Long-form Question Answering
di: Sachdeva, Rachneet, et al.
Pubblicazione: (2024)

Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contexts
di: De Leon, Frances Laureano, et al.
Pubblicazione: (2025)

Scaling Policy Compliance Assessment in Language Models with Policy Reasoning Traces
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2025)

Pre-Trained Language Models Represent Some Geographic Populations Better Than Others
di: Dunn, Jonathan, et al.
Pubblicazione: (2024)

Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors
di: Madabushi, Harish Tayyar, et al.
Pubblicazione: (2025)

Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2024)

Safer Policy Compliance with Dynamic Epistemic Fallback
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2026)

Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning
di: Mackintosh, Tom, et al.
Pubblicazione: (2025)

Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs
di: Bonial, Claire, et al.
Pubblicazione: (2025)

Hypothesis-Driven Feature Manifold Analysis in LLMs via Supervised Multi-Dimensional Scaling
di: Tiblias, Federico, et al.
Pubblicazione: (2025)

Word Boundary Information Isn't Useful for Encoder Language Models
di: Gow-Smith, Edward, et al.
Pubblicazione: (2024)

Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text
di: De Leon, Frances A. Laureano, et al.
Pubblicazione: (2024)

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2025)

Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions
di: Scivetti, Wesley, et al.
Pubblicazione: (2025)

Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom
di: Torgbi, Melissa, et al.
Pubblicazione: (2025)

Attribute or Abstain: Large Language Models as Long Document Assistants
di: Buchmann, Jan, et al.
Pubblicazione: (2024)

Robust Utility-Preserving Text Anonymization Based on Large Language Models
di: Yang, Tianyu, et al.
Pubblicazione: (2024)

How are Prompts Different in Terms of Sensitivity?
di: Lu, Sheng, et al.
Pubblicazione: (2023)

Identifying Aspects in Peer Reviews
di: Lu, Sheng, et al.
Pubblicazione: (2025)

Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
di: Ruan, Qian, et al.
Pubblicazione: (2024)

Cultural Learning-Based Culture Adaptation of Language Models
di: Liu, Chen Cecilia, et al.
Pubblicazione: (2025)

Token Weighting for Long-Range Language Modeling
di: Helm, Falko, et al.
Pubblicazione: (2025)

Differentially Private Steering for Large Language Model Alignment
di: Goel, Anmol, et al.
Pubblicazione: (2025)

How Quantization Shapes Bias in Large Language Models
di: Marcuzzi, Federico, et al.
Pubblicazione: (2025)

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
di: Bates, Luke, et al.
Pubblicazione: (2025)

IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
di: Paul, Indraneil, et al.
Pubblicazione: (2024)

Multimodal Large Language Models to Support Real-World Fact-Checking
di: Geng, Jiahui, et al.
Pubblicazione: (2024)

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
di: Puerto, Haritz, et al.
Pubblicazione: (2024)

Transforming Scholarly Landscapes: Influence of Large Language Models on Academic Fields beyond Computer Science
di: Pramanick, Aniket, et al.
Pubblicazione: (2024)

Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification
di: Bates, Luke, et al.
Pubblicazione: (2023)

Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation Framework
di: Dycke, Nils, et al.
Pubblicazione: (2025)

Citation Failure: Definition, Analysis and Efficient Mitigation
di: Buchmann, Jan, et al.
Pubblicazione: (2025)