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CLARINET: Augmenting Language Models to Ask Clarification Questions for
  Retrieval

CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval

28 April 2024
Yizhou Chi
Jessy Lin
Kevin Lin
Dan Klein
    RALM
ArXivPDFHTML

Papers citing "CLARINET: Augmenting Language Models to Ask Clarification Questions for Retrieval"

4 / 4 papers shown
Title
Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning
Browsing Lost Unformed Recollections: A Benchmark for Tip-of-the-Tongue Search and Reasoning
Sky CH-Wang
Darshan Deshpande
Smaranda Muresan
Anand Kannappan
Rebecca Qian
54
1
0
24 Mar 2025
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs
Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs
Xiaomin Li
Zhou Yu
Ziji Zhang
Yingying Zhuang
S.
Narayanan Sadagopan
Anurag Beniwal
HILM
58
0
0
28 Feb 2025
InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context
InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden Context
Bryan L. M. de Oliveira
Luana G. B. Martins
Bruno Brandão
L. Melo
ELM
167
1
0
17 Feb 2025
Contextualized Evaluations: Taking the Guesswork Out of Language Model
  Evaluations
Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations
Chaitanya Malaviya
Joseph Chee Chang
Dan Roth
Mohit Iyyer
Mark Yatskar
Kyle Lo
ELM
40
4
0
11 Nov 2024
1