📰 BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP

📅 Works by year

🧭 Top topics

Topics of its works in our library, with the number of works on each.

 English (2)😉 Implicature (1)🧠 Language models & pretraining (1)🧮 Reasoning (1)🔬 Interpretability (1)🧷 Idioms & multiword expressions (1)

📚 Fields

🎭 Arts and Humanities (4)🖥️ Computer Science (2)🧠 Neuroscience (1)💭 Psychology (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🏢GoogleMountain View · United States1 work here🎓Hong Kong Polytechnic UniversityHong Kong · China1 work here🎓University of California, Santa CruzSanta Cruz · United States1 work here🎓Bielefeld UniversityBielefeld · Germany1 work here🎓Brown UniversityProvidence · United States1 work here🔬Allen Institute for Artificial IntelligenceSeattle · United States1 work here🎓Stanford UniversityStanford · United States1 work here

📄 Works in our library (4)

The most cited first (OpenAlex citations plus our library's).

1. What Happens To BERT Embeddings During Fine-tuning?Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al.2020 · 219 citations
2. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 112 citations
3. When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! PrincipleJudith Sieker, Sina Zarrieß2023 · 9 citations
4. On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERTChenxin Liu, Emmanuele Chersoni2023 · 2 citations

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.

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