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20232026
most citedLLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

38 citations · 67 across the 44 of their papers we have counts for

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16 papers · 1 filter

cs.IR2026

Multi-Source Retrieval and Reasoning for Legal Sentencing Prediction

Junjie Chen, Haitao Li, Qilei Zhang +9

Legal judgment prediction (LJP) aims to predict judicial outcomes from case facts and typically includes law article, charge, and sentencing prediction. While recent methods perfor…

cs.IR2025

SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation

Qian Dong, Jia Chen, Qingyao Ai +6

Existing retrieval-augmented code generation (RACG) methods typically use an external retrieval module to fetch semantically similar code snippets used for generating subsequent fr…

cs.IR2025

Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions

Jia Chen, Qian Dong, Haitao Li +9

User-generated content (UGC) communities, especially those featuring multimodal content, improve user experiences by integrating visual and textual information into results (or ite…

cs.IR2024

Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval

Haitao Li, You Chen, Zhekai Ge +4

Legal retrieval techniques play an important role in preserving the fairness and equality of the judicial system. As an annually well-known international competition, COLIEE aims t…

cs.IR2024

DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment

Haitao Li, Qingyao Ai, Xinyan Han +5

Recent research demonstrates the effectiveness of using pre-trained language models for legal case retrieval. Most of the existing works focus on improving the representation abili…

cs.IR2024★ 4 cited

Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions

Weihang Su, Qingyao Ai, Yueyue Wu +5

Legal case retrieval aims to help legal workers find relevant cases related to their cases at hand, which is important for the guarantee of fairness and justice in legal judgments.…

cs.IR2024★ 3 cited

PRE: A Peer Review Based Large Language Model Evaluator

Zhumin Chu, Qingyao Ai, Yiteng Tu +2

The impressive performance of large language models (LLMs) has attracted considerable attention from the academic and industrial communities. Besides how to construct and train LLM…

cs.IR2023

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback

Qian Dong, Yiding Liu, Qingyao Ai +6

Large language models (LLMs) have demonstrated remarkable capabilities across various research domains, including the field of Information Retrieval (IR). However, the responses ge…

cs.IR2023

An Intent Taxonomy of Legal Case Retrieval

Yunqiu Shao, Haitao Li, Yueyue Wu +5

Legal case retrieval is a special Information Retrieval~(IR) task focusing on legal case documents. Depending on the downstream tasks of the retrieved case documents, users' inform…

cs.IR2023★ 1 cited

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval

Qian Dong, Yiding Liu, Qingyao Ai +5

Passage retrieval is a fundamental task in many information systems, such as web search and question answering, where both efficiency and effectiveness are critical concerns. In re…

cs.IR2023★ 6 cited

THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval

Haitao Li, Weihang Su, Changyue Wang +3

Legal case retrieval techniques play an essential role in modern intelligent legal systems. As an annually well-known international competition, COLIEE is aiming to achieve the sta…

cs.IR2023

THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank

Jia Chen, Haitao Li, Weihang Su +2

This paper introduces the approaches we have used to participate in the WSDM Cup 2023 Task 1: Unbiased Learning to Rank. In brief, we have attempted a combination of both tradition…

cs.IR2023

Constructing Tree-based Index for Efficient and Effective Dense Retrieval

Haitao Li, Qingyao Ai, Jingtao Zhan +4

Recent studies have shown that Dense Retrieval (DR) techniques can significantly improve the performance of first-stage retrieval in IR systems. Despite its empirical effectiveness…

cs.IR2023

SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval

Haitao Li, Qingyao Ai, Jia Chen +5

Legal case retrieval, which aims to find relevant cases for a query case, plays a core role in the intelligent legal system. Despite the success that pre-training has achieved in a…

cs.IR2023

T2Ranking: A large-scale Chinese Benchmark for Passage Ranking

Xiaohui Xie, Qian Dong, Bingning Wang +8

Passage ranking involves two stages: passage retrieval and passage re-ranking, which are important and challenging topics for both academics and industries in the area of Informati…

cs.IR2023★ 2 cited

Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank

Haitao Li, Jia Chen, Weihang Su +2

This paper describes the approach of the THUIR team at the WSDM Cup 2023 Pre-training for Web Search task. This task requires the participant to rank the relevant documents for eac…