Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling

25 January 2024

Papers citing "Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling"

9 / 9 papers shown

Title
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild Saad Obaid ul Islam Anne Lauscher Goran Glavas HILM LRM 108 1 0 21 Feb 2025
A Benchmark and Robustness Study of In-Context-Learning with Large Language Models in Music Entity Detection Simon Hachmeier Robert Jäschke 70 0 0 16 Dec 2024
Acquiring Bidirectionality via Large and Small Language Models Takumi Goto Hiroyoshi Nagao Yuta Koreeda 23 0 0 19 Aug 2024
VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition Junyi Bian W. Zhai Xiaodi Huang Jiaxuan Zheng Shanfeng Zhu 29 1 0 27 Apr 2024
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders Parishad BehnamGhader Vaibhav Adlakha Marius Mosbach Dzmitry Bahdanau Nicolas Chapados Siva Reddy 30 131 0 09 Apr 2024
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality Brielen Madureira Patrick Kahardipraja David Schlangen 31 2 0 20 Feb 2024
Promptly Predicting Structures: The Return of Inference Maitrey Mehta Valentina Pyatkin Vivek Srikumar 42 3 0 12 Jan 2024
Similarity Analysis of Contextual Word Representation Models John M. Wu Yonatan Belinkov Hassan Sajjad Nadir Durrani Fahim Dalvi James R. Glass 46 65 0 03 May 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,791 0 17 Sep 2019