Cover Image

ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mo, Fengran, Zhang, Jinghan, Hui, Yuchen, Sun, Jia Ao, Xu, Zhichao, Su, Zhan, Nie, Jian-Yun
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Dynamic Dense Retrieval with Routing Strategy
by: Su, Zhan, et al.
Published: (2026)

Parametric Retrieval-Augmented Generation using Latent Routing of LoRA Adapters
by: Su, Zhan, et al.
Published: (2025)

History-Aware Conversational Dense Retrieval
by: Mo, Fengran, et al.
Published: (2024)

RALI@TREC iKAT 2024: Achieving Personalization via Retrieval Fusion in Conversational Search
by: Hui, Yuchen, et al.
Published: (2024)

ConvSDG: Session Data Generation for Conversational Search
by: Mo, Fengran, et al.
Published: (2024)

Adaptive Personalized Conversational Information Retrieval
by: Mo, Fengran, et al.
Published: (2025)

ConvGQR: Generative Query Reformulation for Conversational Search
by: Mo, Fengran, et al.
Published: (2023)

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
by: Mo, Fengran, et al.
Published: (2026)

Conversational Search: From Fundamentals to Frontiers in the LLM Era
by: Mo, Fengran, et al.
Published: (2025)

How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
by: Mo, Fengran, et al.
Published: (2024)

Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search
by: Mo, Fengran, et al.
Published: (2024)

CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation
by: Qi, Rui, et al.
Published: (2026)

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
by: Mao, Kelong, et al.
Published: (2024)

Boosting Data Utilization for Multilingual Dense Retrieval
by: Huang, Chao, et al.
Published: (2025)

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
by: Mo, Fengran, et al.
Published: (2025)

Mixed-initiative Query Rewriting in Conversational Passage Retrieval
by: Yang, Dayu, et al.
Published: (2023)

CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
by: Mo, Fengran, et al.
Published: (2024)

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
by: Wu, Yihong, et al.
Published: (2024)

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
by: Chen, Haonan, et al.
Published: (2024)

A Survey of Conversational Search
by: Mo, Fengran, et al.
Published: (2024)

Learning to Route Queries to Heads for Attention-based Re-ranking with Large Language Models
by: Tian, Yuxing, et al.
Published: (2026)

Language Modeling Using Tensor Trains
by: Su, Zhan, et al.
Published: (2024)

A Survey of Model Architectures in Information Retrieval
by: Xu, Zhichao, et al.
Published: (2025)

Scaling Laws For Dense Retrieval
by: Fang, Yan, et al.
Published: (2024)

A Multi-Task Embedder For Retrieval Augmented LLMs
by: Zhang, Peitian, et al.
Published: (2023)

Rethinking On-policy Optimization for Query Augmentation
by: Xu, Zhichao, et al.
Published: (2025)

QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
by: Tan, Hongming, et al.
Published: (2024)

MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems
by: Zhang, Yi, et al.
Published: (2025)

CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval
by: Hai, Nam Le, et al.
Published: (2023)

Dense Passage Retrieval in Conversational Search
by: Salamah, Ahmed H., et al.
Published: (2025)

Metacognitive Retrieval-Augmented Large Language Models
by: Zhou, Yujia, et al.
Published: (2024)

Teaching Dense Retrieval Models to Specialize with Listwise Distillation and LLM Data Augmentation
by: Tamber, Manveer Singh, et al.
Published: (2025)

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
by: Li, Minghan, et al.
Published: (2024)

IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios
by: Lin, Hai, et al.
Published: (2024)

Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation
by: Zhang, Chenghao, et al.
Published: (2025)

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)

Dynamic and Parametric Retrieval-Augmented Generation
by: Su, Weihang, et al.
Published: (2025)

MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders
by: Huang, Xu, et al.
Published: (2026)

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
by: Cheng, Yiruo, et al.
Published: (2024)

Boosting Biomedical Concept Extraction by Rule-Based Data Augmentation
by: Shao, Qiwei, et al.
Published: (2024)