Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation
In this paper, we present a new embedding model, called M3-Embedding, which is
distinguished for its versatility in Multi-Linguality, Multi-Functionality, and Multi-Granularity. It …
distinguished for its versatility in Multi-Linguality, Multi-Functionality, and Multi-Granularity. It …
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
The rapid advancement of Large Language Models (LLMs) has driven their expanding
application across various fields. One of the most promising applications is their role as …
application across various fields. One of the most promising applications is their role as …
Legal Case Retrieval: A Survey of the State of the Art
Recent years have seen increasing attention on Legal Case Retrieval (LCR), a key task in
the area of Legal AI that concerns the retrieval of cases from a large legal database of …
the area of Legal AI that concerns the retrieval of cases from a large legal database of …
Lexeval: A comprehensive chinese legal benchmark for evaluating large language models
Large language models (LLMs) have made significant progress in natural language
processing tasks and demonstrate considerable potential in the legal domain. However …
processing tasks and demonstrate considerable potential in the legal domain. However …
Calibraeval: Calibrating prediction distribution to mitigate selection bias in llms-as-judges
The use of large language models (LLMs) as automated evaluation tools to assess the
quality of generated natural language, known as LLMs-as-Judges, has demonstrated …
quality of generated natural language, known as LLMs-as-Judges, has demonstrated …
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation
Legal professionals need to write analyses that rely on citations to relevant precedents, ie,
previous case decisions. Intelligent systems assisting legal professionals in writing such …
previous case decisions. Intelligent systems assisting legal professionals in writing such …
Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach
Legal document retrieval and judgment prediction are crucial tasks in intelligent legal
systems. In practice, determining whether two documents share the same judgments is …
systems. In practice, determining whether two documents share the same judgments is …
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
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 ability …
legal case retrieval. Most of the existing works focus on improving the representation ability …
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
Legal case retrieval for sourcing similar cases is critical in upholding judicial fairness.
Different from general web search, legal case retrieval involves processing lengthy …
Different from general web search, legal case retrieval involves processing lengthy …
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
In the information retrieval (IR) area, dense retrieval (DR) models use deep learning
techniques to encode queries and passages into embedding space to compute their …
techniques to encode queries and passages into embedding space to compute their …