Skip to content
conftrace_

retriever training

8 papers

Explore in graph

Co-occurring keywords · papers mentioning both

information retrieval (3) multi-hop question answering (2) retrieval-augmented generation (2) language model (2) synthetic data generation (2) dense retrieval (2) in-context learning (2) policy optimization (2) reinforcement learning (2) relevance consistency (1)

Papers

DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization EACL 2026 Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance EMNLP 2025 Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025 ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance EMNLP 2025 ReSCORE: Label-free Iterative Retriever Training for Multi-hop Question Answering with Relevance-Consistency Supervision ACL 2025 Disentangling Questions from Query Generation for Task-Adaptive Retrieval EMNLP 2024 Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024 Few-shot Reranking for Multi-hop QA via Language Model Prompting ACL 2023