Search Results for author: Ruofei Lai

Found 10 papers, 4 papers with code

Debatrix: Multi-dimensinal Debate Judge with Iterative Chronological Analysis Based on LLM

1 code implementation12 Mar 2024 Jingcong Liang, Rong Ye, Meng Han, Ruofei Lai, Xinyu Zhang, Xuanjing Huang, Zhongyu Wei

How can we construct an automated debate judge to evaluate an extensive, vibrant, multi-turn debate?

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation

1 code implementation21 Dec 2023 Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei

The results show the competitiveness of our proposed framework and evaluator in counter-argument generation tasks.

Sentence

IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions

no code implementations30 Nov 2023 Zhebin Zhang, Xinyu Zhang, Yuanhang Ren, Saijiang Shi, Meng Han, Yongkang Wu, Ruofei Lai, Zhao Cao

In this paper, we propose an Induction-Augmented Generation (IAG) framework that utilizes inductive knowledge along with the retrieved documents for implicit reasoning.

Knowledge Distillation Retrieval +1

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection

no code implementations30 Aug 2023 Hongjin Qian, Zhicheng Dou, Jiejun Tan, Haonan Chen, Haoqi Gu, Ruofei Lai, Xinyu Zhang, Zhao Cao, Ji-Rong Wen

Previous methods use external knowledge as references for text generation to enhance factuality but often struggle with the knowledge mix-up(e. g., entity mismatch) of irrelevant references.

Text Generation

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus

1 code implementation10 Apr 2023 Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, Ji-Rong Wen

In this paper, we introduce a new NLP task -- generating short factual articles with references for queries by mining supporting evidence from the Web.

Retrieval Text Generation

Towards More Effective and Economic Sparsely-Activated Model

no code implementations14 Oct 2021 Hao Jiang, Ke Zhan, Jianwei Qu, Yongkang Wu, Zhaoye Fei, Xinyu Zhang, Lei Chen, Zhicheng Dou, Xipeng Qiu, Zikai Guo, Ruofei Lai, Jiawen Wu, Enrui Hu, Yinxia Zhang, Yantao Jia, Fan Yu, Zhao Cao

To increase the number of activated experts without an increase in computational cost, we propose SAM (Switch and Mixture) routing, an efficient hierarchical routing mechanism that activates multiple experts in a same device (GPU).

YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker

no code implementations14 Sep 2021 Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao

Finally, supervisory signal in rear compressor is computed based on condition probability and thus can control sample dynamic and further enhance the model performance.

Document Ranking Information Retrieval +1

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