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AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment

AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment

2 July 2024
Yilong Lai
Jialong Wu
Congzhi Zhang
Haowen Sun
Deyu Zhou
ArXivPDFHTML

Papers citing "AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment"

3 / 3 papers shown
Title
Ask Optimal Questions: Aligning Large Language Models with Retriever's
  Preference in Conversational Search
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search
Chanwoong Yoon
Gangwoo Kim
Byeongguk Jeon
Sungdong Kim
Yohan Jo
Jaewoo Kang
RALM
KELM
32
11
0
19 Feb 2024
Enhancing Conversational Search: Large Language Model-Aided Informative
  Query Rewriting
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
Fanghua Ye
Meng Fang
Shenghui Li
Emine Yilmaz
KELM
46
44
0
15 Oct 2023
MBR and QE Finetuning: Training-time Distillation of the Best and Most
  Expensive Decoding Methods
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
M. Finkelstein
Subhajit Naskar
Mehdi Mirzazadeh
Apurva Shah
Markus Freitag
45
26
0
19 Sep 2023
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