Papers with GPT-OSS-20B

2 papers
Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification (2026.acl-srw)

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Challenge: idiomatic light verb constructions (LVCs) are challenging for multiword expression processing . they share the same surface form as fully literal verb–object combinations .
Approach: They frame Turkish LVC detection as a binary classification task . they compare a supervised Turkish encoder baseline to three instruction-tuned LLMs .
Outcome: The proposed method improves Turkish LVC detection on a controlled set with matched negatives and positives.
ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning (2026.findings-acl)

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Challenge: Prior studies assess instruction adherence in the model’s main responses, but it is also critical for large reasoning models to follow user instructions throughout their reasoning process.
Approach: They propose a systematic benchmark for assessing reasoning instruction following to assess the model's adherence to instructions.
Outcome: The proposed benchmark reduces the risk of undesirable shortcuts, hallucinations, or reward hacking within reasoning traces.

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