Semantic Retrieval
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Benchmarks
Contract Discovery
Most implemented
The Retriever Should Remember: Experience-Amortized Reranking for Long-Term Agent Memory
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
Quantifying Organizational Environmental Action from Web Data and Large Language Models
Harnessing LLMs for Reliable Academic Supervision: A Comparative Study
Papers
Quantifying Organizational Environmental Action from Web Data and Large Language Models
Quantifying organizational environmental action from publicly available web content remains a challenging environmental data science problem because relevant information can be dispersed across multiple webpages and is p…
Semantic RetrievalIndustrial-Instruction: An End-to-End Framework for Building Instruction-Tuning and Benchmark Datasets from Industrial Technical Reports
Industrial technical reports contain high-value knowledge for maintenance, troubleshooting, and product engineering, but their heterogeneous structure (dense prose, specifications, tables) makes them difficult to index a…
Semantic RetrievalGeneral KnowledgeThe Retriever Should Remember: Experience-Amortized Reranking for Long-Term Agent Memory
Long-term language-model agents accumulate memories across interactions, but their retrievers typically do not accumulate retrieval experience. Semantic retrieval is efficient, but embedding similarity does not always re…
Semantic RetrievalFinRCA-Bench: Benchmarking Evidence Retrieval and Reasoning for Financial AI Systems
Large language models are increasingly used to support financial operations, but their apparent reasoning performance can depend on whether they receive the right evidence. In financial reconciliation, the evidence neede…
Semantic RetrievalCoAL-RAG: A Complexity-Aware Legal Retrieval-Augmented Generation Method
Legal consultation questions exhibit multi-level complexity. A single retrieval strategy often leads to over-reasoning for simple questions and poor interpretability for complex ones, making it difficult to meet the requ…
Semantic RetrievalLogical ReasoningINSPIRE: A Benchmark for Instruction-Aware Speech Retrieval
Existing speech retrieval systems rely on fixed similarity matching and cannot adapt to diverse user intents. We introduce INSPIRE, the first benchmark for instruction-aware speech retrieval, in which natural-language in…
Semantic Retrieval