ResearchTrend.AI
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation

Ziqin Luo
Haixia Han
Haokun Zhao
Guochao Jiang
Chengyu Du
Tingyun Li
Jiaqing Liang
Deqing Yang
Yanghua Xiao
ArXivPDFHTML

Papers citing "SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation"

3 / 3 papers shown
Title
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
Shiqi Chen
Miao Xiong
Junteng Liu
Zhengxuan Wu
Teng Xiao
Siyang Gao
Junxian He
HILM
51
19
0
03 Mar 2024
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
Lianghui Zhu
Xinggang Wang
Xinlong Wang
ELM
ALM
54
103
0
26 Oct 2023
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