conftrace_

text reranking

15 papers

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Co-occurring keywords · papers mentioning both

retrieval-augmented generation (6) information retrieval (6) large language model (5) evidence retrieval (2) multi-hop reasoning (2) document retrieval (2) semantic search (2) question answering (2) knowledge distillation (2) contrastive learning (2)

Papers

Don’t Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation ACL 2026 ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking AAAI 2026 ArgHiTZ at ArchEHR-QA 2025: A Two-Step Divide and Conquer Approach to Patient Question Answering for Top Factuality ACL 2025 Automotive Document Labeling Using Large Language Models EMNLP 2025 Distillation versus Contrastive Learning: How to Train Your Rerankers IJCNLP 2025 State Space Models are Strong Text Rerankers NAACL 2025 EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models ACL 2024 Error-Robust Retrieval for Chinese Spelling Check COLING 2024 mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval EMNLP 2024 PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking ACL 2024 Retrieving Semantics for Fact-Checking: A Comparative Approach using CQ (Claim to Question) & AQ (Answer to Question) EMNLP 2024 Improved grammatical error correction by ranking elementary edits EMNLP 2022 MatRank: Text Re-ranking by Latent Preference Matrix EMNLP 2022 Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification EMNLP 2022 Answering Open-Domain Questions of Varying Reasoning Steps from Text EMNLP 2021