Filtered Corpus Training (FiCT) Shows that Language Models can
Generalize from Indirect Evidence

Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence

24 May 2024

Yu Ying Chiu

Clevis Willrich

Shane Steinert-Threlkeld

Papers citing "Filtered Corpus Training (FiCT) Shows that Language Models can Generalize from Indirect Evidence"

16 / 16 papers shown

Title
Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models Qing Yao Kanishka Misra Leonie Weissweiler Kyle Mahowald 45 0 0 26 Mar 2025
Do Construction Distributions Shape Formal Language Learning In German BabyLMs? Bastian Bunzeck Daniel Duran Sina Zarrieß 43 0 0 14 Mar 2025
On the Acquisition of Shared Grammatical Representations in Bilingual Language Models Catherine Arnett Tyler A. Chang J. Michaelov Benjamin Bergen 41 0 0 05 Mar 2025
Can Language Models Learn Typologically Implausible Languages? Tianyang Xu Tatsuki Kuribayashi Yohei Oseki Ryan Cotterell Alex Warstadt 73 1 0 17 Feb 2025
Generalizations across filler-gap dependencies in neural language models Katherine Howitt Sathvik Nair Allison Dods Robert Melvin Hopkins AI4CE 20 2 0 23 Oct 2024
Can Language Models Induce Grammatical Knowledge from Indirect Evidence? Miyu Oba Yohei Oseki Akiyo Fukatsu Akari Haga Hiroki Ouchi Taro Watanabe Saku Sugawara 32 1 0 08 Oct 2024
Generating novel experimental hypotheses from language models: A case study on cross-dative generalization Kanishka Misra Najoung Kim 29 3 0 09 Aug 2024
Testing learning hypotheses using neural networks by manipulating learning data Cara Su-Yi Leong Tal Linzen 23 4 0 05 Jul 2024
Black Big Boxes: Do Language Models Hide a Theory of Adjective Order? Jaap Jumelet Lisa Bylinina Willem H. Zuidema Jakub Szymanik 67 4 0 02 Jul 2024
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs Kanishka Misra Kyle Mahowald 35 23 0 28 Mar 2024
Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times Byung-Doh Oh Shisen Yue William Schuler 48 14 0 03 Feb 2024
Syntactic Surprisal From Neural Models Predicts, But Underestimates, Human Processing Difficulty From Syntactic Ambiguities Suhas Arehalli Brian Dillon Tal Linzen 26 36 0 21 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 114 93 0 06 Oct 2022
Frequency Effects on Syntactic Rule Learning in Transformers Jason W. Wei Dan Garrette Tal Linzen Ellie Pavlick 82 62 0 14 Sep 2021
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages Peng Qi Yuhao Zhang Yuhui Zhang Jason Bolton Christopher D. Manning AI4TS 199 1,653 0 16 Mar 2020
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 228 4,460 0 23 Jan 2020