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NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial
  Reports

NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports

5 May 2023
Mael Jullien
Marco Valentino
H. Frost
Paul O'Regan
Dónal Landers
André Freitas
ArXivPDFHTML

Papers citing "NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports"

6 / 6 papers shown
Title
CRCL at SemEval-2024 Task 2: Simple prompt optimizations
CRCL at SemEval-2024 Task 2: Simple prompt optimizations
Clément Brutti-Mairesse
L. Verlingue
43
2
0
03 May 2024
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for
  Clinical Trials
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials
Mael Jullien
Marco Valentino
André Freitas
LM&MA
41
41
0
07 Apr 2024
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe
  Biomedical Natural Language Inference for Clinical Trials
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical Trials
Shreyasi Mandal
Ashutosh Modi
LRM
ELM
36
3
0
06 Apr 2024
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
Shuai Peng
Ke Yuan
Liangcai Gao
Zhi Tang
AIMat
43
104
0
02 May 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
Hypothesis Only Baselines in Natural Language Inference
Hypothesis Only Baselines in Natural Language Inference
Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
190
576
0
02 May 2018
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