ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.00994
  4. Cited By
LLM Uncertainty Quantification through Directional Entailment Graph and
  Claim Level Response Augmentation

LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation

1 July 2024
Longchao Da
Tiejin Chen
Lu Cheng
Hua Wei
ArXivPDFHTML

Papers citing "LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation"

3 / 3 papers shown
Title
FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
Eun Cheol Choi
Emilio Ferrara
HILM
42
24
0
08 Feb 2024
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati
Karthik Valmeekam
L. Guan
Mudit Verma
Kaya Stechly
Siddhant Bhambri
Lucas Saldyt
Anil Murthy
LRM
92
108
0
02 Feb 2024
Quantifying Uncertainty in Answers from any Language Model and Enhancing
  their Trustworthiness
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness
Jiuhai Chen
Jonas W. Mueller
46
56
0
30 Aug 2023
1