inLoRA-MINT: Internal Representations for Auditing Training Data in Domain-adapted LLMs
[Submitted on 13 Oct 2026] View PDF HTML (experimental) Abstract:This work investigates the application of the Membership Inference Test (MINT)…
[Submitted on 13 Oct 2026] View PDF HTML (experimental) Abstract:This work investigates the application of the Membership Inference Test (MINT)…
[Submitted on 27 Sep 2026] View PDF HTML (experimental) Abstract:Group-relative reinforcement learning methods such as GRPO train large language model…
[Submitted on 23 Jun 2025 (v1), last revised 13 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Grammatical Error…
[Submitted on 9 May 2026 (v1), last revised 12 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:A distilled…
[Submitted on 7 Oct 2026 (v1), last revised 12 Oct 2026 (this version, v2)] Authors:Gengze Zhou, Yicong Hong, Jiazhao Zhang,…
[Submitted on 9 Oct 2026] View PDF Abstract:Calibrated typed-decision (“System One”) models return a label and a probability in a…
[Submitted on 9 Oct 2026] Authors:Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Tarak Nath Nandi, Ji Dong K Bai,…
[Submitted on 9 Oct 2026 (v1), last revised 14 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Reconstructing accurate…
[Submitted on 9 Oct 2026] View PDF HTML (experimental) Abstract:LLM data engineering requires iterative experimentation to determine how data selection,…
[Submitted on 6 Oct 2026 (v1), last revised 10 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Typed decision…