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Are Long-LLMs A Necessity For Long-Context Tasks?

Are Long-LLMs A Necessity For Long-Context Tasks?

24 May 2024
Hongjin Qian
Zheng Liu
Peitian Zhang
Kelong Mao
Yujia Zhou
Xu Chen
Zhicheng Dou
ArXivPDFHTML

Papers citing "Are Long-LLMs A Necessity For Long-Context Tasks?"

5 / 5 papers shown
Title
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval
  Augmented Long-Context Large Language Models
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
Kun Luo
Zheng Liu
Shitao Xiao
Kang Liu
21
10
0
18 Feb 2024
Grounding Language Model with Chunking-Free In-Context Retrieval
Grounding Language Model with Chunking-Free In-Context Retrieval
Hongjin Qian
Zheng Liu
Kelong Mao
Yujia Zhou
Zhicheng Dou
29
13
0
15 Feb 2024
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
Distilling Knowledge from Reader to Retriever for Question Answering
Distilling Knowledge from Reader to Retriever for Question Answering
Gautier Izacard
Edouard Grave
RALM
165
249
0
08 Dec 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
220
3,054
0
23 Jan 2020
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