Papers with HPA

2 papers
Instantly Learning Preference Alignment via In-context DPO (2025.naacl-long)

Copied to clipboard

Challenge: Presently, mainstream approaches to HPA heavily depend on fine-tuning . however, the huge computational and annotation costs of fine-timing are hard to ignore .
Approach: They propose a tuning-free approach to HPA using LLMs' decoding . they first rethink the derivation procedures of DPO and build an instant scorer .
Outcome: The proposed approach outperforms existing methods even with tuning-free baselines and an upgraded scorer.
TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking (2026.acl-long)

Copied to clipboard

Challenge: Existing benchmarks lack social metadata and evaluation framework to meet this urgent evaluation needs.
Approach: They propose a benchmark capable of evaluating HPA and three fact-checking tasks.
Outcome: The proposed framework improves HPA and computational efficiency for RLM-driven systems.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations