Yiding Liu

Yiding Liu

刘亦丁

Search Science at Baidu Inc.

Biography

I am currently a research scientist of Search Science team at Baidu Inc, working on language model based search with Dr. Dawei Yin and Dr. Shuaiqiang Wang.

My recent research interests include: 1) Information Retrivial and Knowledge Discovery; 2) Large Language Models; 3) LLM for IR/KD;

Prospective Interns. I am actively seeking self-motivated Ph.D. students as interns in Baidu Search. If you are interested in information retrieval or pre-trained language models, please feel free to drop me an email.

If you’re a PhD student or just starting out in your career, I’m totally down to chat. Hoping to help others avoid some of the shitty things I’ve been through.

Full Publications

Quickly discover relevant content by filtering publications.
(2024). Exploring Memorization in Fine-tuned Language Models. ACL.

PDF Cite

(2024). The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL Findings.

PDF Cite Code

(2024). Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. SIGIR.

PDF Cite Code

(2024). Mill: Mutual Verification with Large Language Models for Zero-shot Query Expansion. NAACL.

PDF Cite Code

(2024). A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL Findings.

PDF Cite