Passage Ranking
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Benchmarks
MS MARCO
Most implemented
Adaptive Re-Ranking with a Corpus Graph
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
Learning to Rank in Generative Retrieval
Shallow pooling for sparse labels
Dealing with Typos for BERT-based Passage Retrieval and Ranking
Papers
Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding
We participated in the Fifth UNLP shared task on multi-domain document understanding, where systems must answer Ukrainian multiple-choice questions from PDF collections and localize the supporting document and page. We p…
Answer GenerationAnswer SelectionPassage RankingThe Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking
Large Language Models (LLMs) have demonstrated strong performance in information retrieval tasks like passage ranking. Our research examines how instruction-following capabilities in LLMs interact with multi-document com…
Information RetrievalPassage RankingCFDA & CLIP at TREC iKAT 2025: Enhancing Personalized Conversational Search via Query Reformulation and Rank Fusion
The 2025 TREC Interactive Knowledge Assistance Track (iKAT) featured both interactive and offline submission tasks. The former requires systems to operate under real-time constraints, making robustness and efficiency as …
Response GenerationPassage RankingReasonRank: Empowering Passage Ranking with Strong Reasoning Ability
Large Language Model (LLM) based listwise ranking has shown superior performance in many passage ranking tasks. With the development of Large Reasoning Models (LRMs), many studies have demonstrated that step-by-step reas…
Reinforcement LearningPassage RankingOverview of the TREC 2023 deep learning track
This is the fifth year of the TREC Deep Learning track. As in previous years, we leverage the MS MARCO datasets that made hundreds of thousands of human-annotated training labels available for both passage and document r…
Document RankingPassage RankingIRanker: Towards Ranking Foundation Model
Ranking tasks are ubiquitous, encompassing applications such as recommendation systems, LLM routing, and item re-ranking. We propose to unify these tasks using a single ranking foundation model (FM), as it eliminates the…
GSM8KmodelPassage RankingRecommendation Systems+3