Paper-Conference

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback
We propose an unsupervised alignment method, namely Reinforcement Learning from Contrastive Feedback (RLCF), empowering LLMs to generate both high-quality and context-specific responses.
Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
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Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback
Mill: Mutual Verification with Large Language Models for Zero-shot Query Expansion
We propose a novel zero-shot query expansion framework utilizing both LLM-generated and retrieved documents.
Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
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Mill: Mutual Verification with Large Language Models for Zero-shot Query Expansion
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
We propose a semantics-based watermark framework SemaMark. It leverages the semantics as an alternative to simple hashes of tokens since the paraphrase will likely preserve the semantic meaning of the sentences.
Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
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A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
We incorporate implicit interaction into dual-encoders, and propose I^3 retriever. In particular, our implicit interaction paradigm leverages generated pseudo-queries to simulate query-passage interaction, which jointly optimizes with query and passage encoders in an end-to-end manner.
Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
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I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
Online anomalous subtrajectory detection on road networks with deep reinforcement learning
Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
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Fast semantic matching via flexible contextualized interaction
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin
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Incorporating explicit knowledge in pre-trained language models for passage re-ranking
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
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Enhanced doubly robust learning for debiasing post-click conversion rate estimation
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
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Pre-trained language model for web-scale retrieval in baidu search
Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
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Robust road network representation learning: When traffic patterns meet traveling semantics
Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison
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