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Is It Really Long Context if All You Need Is Retrieval? Towards
  Genuinely Difficult Long Context NLP

Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

29 June 2024
Omer Goldman
Alon Jacovi
Aviv Slobodkin
Aviya Maimon
Ido Dagan
Reut Tsarfaty
ArXivPDFHTML

Papers citing "Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP"

4 / 4 papers shown
Title
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
Howard Yen
Tianyu Gao
Minmin Hou
Ke Ding
Daniel Fleischer
Peter Izsak
Moshe Wasserblat
Danqi Chen
ALM
ELM
62
26
0
03 Oct 2024
Zoology: Measuring and Improving Recall in Efficient Language Models
Zoology: Measuring and Improving Recall in Efficient Language Models
Simran Arora
Sabri Eyuboglu
Aman Timalsina
Isys Johnson
Michael Poli
James Zou
Atri Rudra
Christopher Ré
64
66
0
08 Dec 2023
ContractNLI: A Dataset for Document-level Natural Language Inference for
  Contracts
ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
Yuta Koreeda
Christopher D. Manning
AILaw
94
97
0
05 Oct 2021
To Test Machine Comprehension, Start by Defining Comprehension
To Test Machine Comprehension, Start by Defining Comprehension
Jesse Dunietz
Greg Burnham
Akash Bharadwaj
Owen Rambow
Jennifer Chu-Carroll
D. Ferrucci
FaML
54
65
0
04 May 2020
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