5 citations · 9 across the 15 of their papers we have counts for
15 papers
Hint-Guided Diversified Policy Optimization for LLM Reasoning
Zhiyu Cao, Kaixin Wu, Mingjie Zhong +3
Recent developments in Large Language Models (LLMs) have showcased impressive reasoning capabilities, with Reinforcement Learning with Verifiable Rewards (RLVR) being a promising e…
DraDDP: A Multimodal Multi-Party Dialogue Discourse Parsing Dataset
Shannan Liu, Peifeng Li, Yaxin Fan +1
Multi-party dialogue discourse parsing aims to identify dependency structures and relation types between utterances in conversations. Previous studies are mostly limited to textual…
Discourse Coherence and Response-Guided Context Rewriting for Multi-Party Dialogue Generation
Zhiyu Cao, Peifeng Li, Qiaoming Zhu
Previous research on multi-party dialogue generation has predominantly leveraged structural information inherent in dialogues to directly inform the generation process. However, th…
Multi-Faceted Self-Consistent Preference Alignment for Query Rewriting in Conversational Search
Zhiyu Cao, Peifeng Li, Qiaoming Zhu
Conversational Query Rewriting (CQR) aims to rewrite ambiguous queries to achieve more efficient conversational search. Early studies have predominantly focused on the rewriting in…
ReCQR: Incorporating conversational query rewriting to improve Multimodal Image Retrieval
Yuan Hu, ZhiYu Cao, PeiFeng Li +1
With the rise of multimodal learning, image retrieval plays a crucial role in connecting visual information with natural language queries. Existing image retrievers struggle with p…
ICR: Iterative Clarification and Rewriting for Conversational Search
Zhiyu Cao, Peifeng Li, Qiaoming Zhu
Most previous work on Conversational Query Rewriting employs an end-to-end rewriting paradigm. However, this approach is hindered by the issue of multiple fuzzy expressions within…
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
Zhiyu Cao, Peifeng Li, Yaxin Fan +1
Although existing fashionable generation methods on Incomplete Utterance Rewriting (IUR) can generate coherent utterances, they often result in the inclusion of irrelevant and redu…
CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities
Sheng Xu, Peifeng Li, Qiaoming Zhu
Event coreference resolution (ECR) aims to group event mentions referring to the same real-world event into clusters. Most previous studies adopt the "encoding first, then scoring"…
GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning
Yaxin Fan, Feng Jiang, Peifeng Li +1
Grammatical error correction aims to correct ungrammatical sentences automatically. Recently, some work has demonstrated the excellent capabilities of closed-source Large Language…
Multi-Granularity Prompts for Topic Shift Detection in Dialogue
Jiangyi Lin, Yaxin Fan, Xiaomin Chu +2
The goal of dialogue topic shift detection is to identify whether the current topic in a conversation has changed or needs to change. Previous work focused on detecting topic shift…
Topic-driven Distant Supervision Framework for Macro-level Discourse Parsing
Feng Jiang, Longwang He, Peifeng Li +2
Discourse parsing, the task of analyzing the internal rhetorical structure of texts, is a challenging problem in natural language processing. Despite the recent advances in neural…
Topic Shift Detection in Chinese Dialogues: Corpus and Benchmark
Jiangyi Lin, Yaxin Fan, Feng Jiang +2
Dialogue topic shift detection is to detect whether an ongoing topic has shifted or should shift in a dialogue, which can be divided into two categories, i.e., response-known task…
Advancing Topic Segmentation and Outline Generation in Chinese Texts: The Paragraph-level Topic Representation, Corpus, and Benchmark
Feng Jiang, Weihao Liu, Xiaomin Chu +3
Topic segmentation and outline generation strive to divide a document into coherent topic sections and generate corresponding subheadings, unveiling the discourse topic structure o…
A Hybrid Model of Classification and Generation for Spatial Relation Extraction
Feng Wang Peifeng Li, Qiaoming Zhu
Extracting spatial relations from texts is a fundamental task for natural language understanding and previous studies only regard it as a classification task, ignoring those spatia…
A Top-Down Neural Architecture towards Text-Level Parsing of Discourse Rhetorical Structure
Longyin Zhang, Yuqing Xing, Fang Kong +2
Due to its great importance in deep natural language understanding and various down-stream applications, text-level parsing of discourse rhetorical structure (DRS) has been drawing…