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. 2312.17484
  4. Cited By
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models
  through Intervention without Tuning

Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning

29 December 2023
Zhongzhi Chen
Xingwu Sun
Xianfeng Jiao
Fengzong Lian
Zhanhui Kang
Di Wang
Cheng-zhong Xu
    HILM
ArXivPDFHTML

Papers citing "Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning"

2 / 2 papers shown
Title
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Dingkang Yang
Dongling Xiao
Jinjie Wei
Mingcheng Li
Zhaoyu Chen
Ke Li
L. Zhang
HILM
92
3
0
28 Jan 2025
Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
Semantics-Adaptive Activation Intervention for LLMs via Dynamic Steering Vectors
Weixuan Wang
J. Yang
Wei Peng
LLMSV
16
2
0
16 Oct 2024
1