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Perception of Knowledge Boundary for Large Language Models through
  Semi-open-ended Question Answering

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering

23 May 2024
Zhihua Wen
Zhiliang Tian
Z. Jian
Zhen Huang
Pei Ke
Yifu Gao
Minlie Huang
Dongsheng Li
ArXivPDFHTML

Papers citing "Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering"

11 / 11 papers shown
Title
Line of Duty: Evaluating LLM Self-Knowledge via Consistency in Feasibility Boundaries
Sahil Kale
Vijaykant Nadadur
45
0
0
14 Mar 2025
Distinguishing Ignorance from Error in LLM Hallucinations
Distinguishing Ignorance from Error in LLM Hallucinations
Adi Simhi
Jonathan Herzig
Idan Szpektor
Yonatan Belinkov
HILM
53
2
0
29 Oct 2024
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
Xinyue Fang
Zhen Huang
Zhiliang Tian
Minghui Fang
Ziyi Pan
Quntian Fang
Zhihua Wen
Hengyue Pan
Dongsheng Li
HILM
86
2
0
17 Sep 2024
Mitigating Hallucinations in Large Vision-Language Models with
  Instruction Contrastive Decoding
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
Xintong Wang
Jingheng Pan
Liang Ding
Christian Biemann
MLLM
32
52
0
27 Mar 2024
Rejection Improves Reliability: Training LLMs to Refuse Unknown
  Questions Using RL from Knowledge Feedback
Rejection Improves Reliability: Training LLMs to Refuse Unknown Questions Using RL from Knowledge Feedback
Hongshen Xu
Zichen Zhu
Situo Zhang
Da Ma
Shuai Fan
Lu Chen
Kai Yu
HILM
29
32
0
27 Mar 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource
  Unsupervised Neural Machine Translation
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
Shilong Pan
Zhiliang Tian
Liang Ding
Zhen Huang
Zhihua Wen
Dongsheng Li
29
2
0
11 Jan 2024
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large
  Language Models in Knowledge Conflicts
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie
Kai Zhang
Jiangjie Chen
Renze Lou
Yu-Chuan Su
RALM
198
150
0
22 May 2023
Leveraging Large Language Models for Multiple Choice Question Answering
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson
Christopher Rytting
David Wingate
ELM
129
181
0
22 Oct 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
235
319
0
21 Aug 2019
1