2 papers
eess.SP2026
Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints
Ignacio Hounie, Ignacio Boero, Alejandro Ribeiro
Fine-tuning language models often requires enforcing constraints on individual inputs without compromising downstream performance. Existing constrained alignment methods impose con…
cs.CL2025
SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning
Jiashu He, Jinxuan Fan, Bowen Jiang +3
Knowledge extrapolation is the process of inferring novel information by combining and extending existing knowledge that is explicitly available. It is essential for solving comple…