When Context Misleads: In-context Learning with Jurisdiction in Large Language Models

YesterdayReported by arXiv34

When Context Misleads: In-context Learning with Jurisdiction in Large Language Models. It centres on Benchmarks, and also names Fine-tuning and GitHub. Reported by arXiv. Bharat Hunt files it under AI Models and AI Research — the section covering a new or updated model, its capabilities, benchmarks or availability.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

Read original coverage

Companies, models and people in this story

Reported by arXiv

First seen yesterday

arXivWhen Context Misleads: In-context Learning with Jurisdiction in Large Language ModelsYesterdayPei-lin Li

AI Models39

Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms

Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms. It centres on Fine-tuning, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXivYesterday

AI Models39

Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

← All AI stories

When Context Misleads: In-context Learning with Jurisdiction in Large Language Models

Companies, models and people in this story

Reported by arXiv

Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms

Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios

Mizar: A 159M-Parameter Audio-Language Model for Audio Understanding

Companies, models and people in this story

Reported by arXiv

Related AI coverage

Cross-Scale Transfer Learning for Depression Severity Prediction: From PHQ-8 to HAMD-17 Across Languages and Clinical Paradigms

Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios

Mizar: A 159M-Parameter Audio-Language Model for Audio Understanding