Papers by Litu Ou
Context-Aware Hierarchical Merging for Long Document Summarization (2025.findings-acl)
Copied to clipboard
| Challenge: | Hierarchical merging is a technique used to summarize very long texts . it can amplify LLM hallucinations, increasing the risk of factual inaccuracies . |
| Approach: | They propose to enrich hierarchical merging with context from the source document to reduce the risk of factual inaccuracies. |
| Outcome: | The proposed methods outperform zero-shot and hierarchical merging baselines on legal and narrative datasets. |
BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents (2026.findings-acl)
Copied to clipboard
Litu Ou, Kuan Li, Huifeng Yin, Liwen Zhang, Zhongwang Zhang, Xixi Wu, Rui Ye, Zile Qiao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou
| Challenge: | Existing work on confidence in LLMs is limited. |
| Approach: | They propose to use confidence scores to determine model answer quality and encourage model to try again until it reaches satisfactory confidence level. |
| Outcome: | The proposed methods significantly reduce token consumption while demonstrating competitive performance compared to baseline fixed budget methods. |