3 papers
cs.LG2026
Internalizing Curriculum Judgment for LLM Reinforcement Fine-Tuning
Han Zheng, Yining Ma, Karthick Gunasekaran +4
In LLM Reinforcement Fine-Tuning (RFT), curriculum learning drives both efficiency and performance. Yet, current methods externalize curriculum judgment via handcrafted heuristics…
cs.CL2025
An Expert-grounded benchmark of General Purpose LLMs in LCA
Artur Donaldson, Bharathan Balaji, Cajetan Oriekezie +2
Purpose: Artificial intelligence (AI), and in particular large language models (LLMs), are increasingly being explored as tools to support life cycle assessment (LCA). While demons…
cs.CL2025
CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation
Kaiwen Zhao, Bharathan Balaji, Stephen Lee
Product sustainability reports provide valuable insights into the environmental impacts of a product and are often distributed in PDF format. These reports often include a combinat…