| Challenge: | a novel evaluation paradigm for targeted syntactic evaluations is proposed . we create formal languages that abstract four syntaktic phenomena in natural languages . |
| Approach: | They propose a new evaluation paradigm for Targeted Syntactic Evaluations . they create formal languages that abstract syntactical phenomena in natural languages . |
| Outcome: | The proposed evaluation paradigm evaluates language models on language modeling tasks . it shows that they can capture the structural patterns of the (Adj)n NP type formal language . |
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| Challenge: | Recent advances have led to an explosion of neural network-based LM architectures. |
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| Challenge: | SyntaxGym is an online platform and open-source framework for targeted syntactic evaluation of neural network language models. |
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| Challenge: | Several testing methodologies have been developed to probe models’ syntactic representations. |
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| Challenge: | introducing Large Language Models (LLMs) has opened new avenues for assessing generated content quality, e.g., coherence, creativity, and context relevance. |
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| Challenge: | Existing studies have not evaluated whether probing accuracy predicts syntactic outcomes. |
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Do Neural Language Models Show Preferences for Syntactic Formalisms? (2020.acl-main)
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| Challenge: | Recent work on interpretability of deep neural language models concludes that many properties of natural language syntax are encoded in their representational spaces. |
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| Challenge: | Recent advances in language models have demonstrated their ability to process linguistic expressions with complex syntactic structures. |
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Discovering Language Model Behaviors with Model-Written Evaluations (2023.findings-acl)
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Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Benjamin Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noemi Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan
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Probing LLMs for Joint Encoding of Linguistic Categories (2023.findings-emnlp)
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Giulio Starace, Konstantinos Papakostas, Rochelle Choenni, Apostolos Panagiotopoulos, Matteo Rosati, Alina Leidinger, Ekaterina Shutova
| Challenge: | Existing research suggests that a linguistic hierarchy emerges in large language models . little is known about how encodings of different linguistic phenomena interact within the models - and to what extent processing of linguistically-related categories relies on the same, shared model representations. |
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