Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Reasoning with Evidence, Not Merely Rationales: Verifiable Preference Proofs for LLM-Based Recommendation
Yu Hou, Nathaniel Kang, Pengkai Wang +1
Large language models (LLMs) can infer user preferences from interaction histories and reviews, yet the rationales they generate may not reflect the information actually used for r…
cs.AI2024
Task Facet Learning: A Structured Approach to Prompt Optimization
Gurusha Juneja, Gautam Jajoo, Nagarajan Natarajan +3
Given a task in the form of a basic description and its training examples, prompt optimization is the problem of synthesizing the given information into a text prompt for a large l…