arXiv (All)
open access
Task Competence Is Not Instruction Following: Evaluating Instruction-Conflicting Behavior in Small Language Models
Instruction tuning is meant to make language models follow user requests, yet it is unclear whether small models comply when an instruction conflicts with their usual task behavior. We study this across three tasks - multiple-choice question answering (MCQA), sentiment classification, and mathematic
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Choices Speak Louder than Questions#1131383
- Fine-Tuned Large Language Models for Generating Multiple-Choice Questions in Anesthesiology: Psychometric Comparison With Faculty-Written Items / Carlos Ramon Hölzing, Charlotte Meynhardt, Patrick Meybohm, Sarah König, Peter Kranke#783909
- ORQA: An Occupation-Realistic Question and Answer Framework for LLM Professional Knowledge#1000321
- Do Reviewers Still Reward Lexical Complexity? A Frozen-Rater Study of Preference Drift in 124K ICLR Reviews#985827
- Rewarding Novel Deductions: Solver-guided Process Rewards for Logical Reasoning#1128919
Record · ID 1342563
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive