---
title: "Who cites Geoffrey Zweig — page 2 — 1,079 citing papers"
description: "1,079 papers of the Elamur Research library cite the works of Geoffrey Zweig, found in their bibliographies · page 2 of 2 · 101–160; the most…"
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---
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# Who cites Geoffrey Zweig

1,085 citations of their works from 1,079 papers of our library (of the 149,439 whose bibliographies we read) · 160 with a page here, the most cited first · page 2 of 2 · 101–160 · [← Geoffrey Zweig](https://md.research.elamur.ai/free/en/authors/geoffrey-zweig/)

[← prev](https://md.research.elamur.ai/free/en/authors/geoffrey-zweig/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/geoffrey-zweig/cited-by/) **2**

101. **[Representing Meaning with a Combination of Logical and Distributional Models](https://md.research.elamur.ai/free/en/papers/beltagy-2016-representing-meaning-combination-logical-distributional/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**I. Beltagy, Stephen Roller, Pengxiang Cheng, et al.*2016 · 89 citations*
102. **[Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding](https://md.research.elamur.ai/free/en/papers/hou-2018-sequence-sequence-data-augmentation-dialogue/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yutai Hou, Yijia Liu, Wanxiang Che, et al.*2018 · 88 citations*
103. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/)
104. **[Building Large Corpora from the Web Using a New Efficient Tool Chain](https://md.research.elamur.ai/free/en/papers/schafer-2012-building-large-corpora-web-new/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Roland Schäfer, Felix Bildhauer*2012 · 86 citations*
105. **[ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora](https://md.research.elamur.ai/free/en/papers/cedeno-2016-convkn-semeval-2016-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Alberto Barrón-Cedeño, Daniele Bonadiman, Giovanni Da San Martino, et al.*2016 · 82 citations*
106. **[QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English](https://md.research.elamur.ai/free/en/papers/nicosia-2015-qcri-answer-selection-community-question/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Massimo Nicosia, Simone Filice, Alberto Barrón-Cedeño, et al.*2015 · 76 citations*
107. **[Semantic Similarity of Arabic Sentences with Word Embeddings](https://md.research.elamur.ai/free/en/papers/nagoudi-2017-semantic-similarity-arabic-sentences-word/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**El Moatez Billah Nagoudi, Didier Schwab*2017 · 75 citations*
108. **[ReFT: Representation Finetuning for Language Models](https://md.research.elamur.ai/free/en/papers/wu-2024-reft-representation-finetuning-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhengxuan Wu, Aryaman Arora, Zheng Wang, et al.*2024 · 74 citations*
109. **[Context-aware Frame-Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/roth-2015-context-aware-frame-semantic-role/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Michael Roth, Mirella Lapata*2015 · 69 citations*
110. **[Multi-Domain Dialogue Acts and Response Co-Generation](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wang, Junfeng Tian, Rui Wang, et al.*2020 · 66 citations*
111. **[Idiom Token Classification using Sentential Distributed Semantics](https://md.research.elamur.ai/free/en/papers/salton-2016-idiom-token-classification-sentential-distributed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Giancarlo Salton, Robert Ross, John Kelleher*2016 · 65 citations*
112. [**Linear Representations of Sentiment in Large Language Models arXiv:2310.15154**Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, et al.*2023 · 64 citations*](https://md.research.elamur.ai/free/en/papers/tigges-2023-linear-representations-sentiment-large-language/)
113. [**Learning a POS tagger for AAVE-like language**Anna Jørgensen, Dirk Hovy, Anders Søgaard*2016 · 60 citations*](https://md.research.elamur.ai/free/en/papers/jorgensen-2016-learning-pos-tagger-aave-like/)
114. [**Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness arXiv:1808.05542 · CLEF-2018**Pepa Atanasova, Alberto Barron-Cedeno, Tamer Elsayed, et al.*2018 · 55 citations*](https://md.research.elamur.ai/free/en/papers/atanasova-2018-overview-clef-2018-checkthat-lab/)
115. **[From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Marianna Apidianaki*2023 · 49 citations*
116. **[Arabic POS Tagging: Don't Abandon Feature Engineering Just Yet](https://md.research.elamur.ai/free/en/papers/darwish-2017-arabic-pos-tagging-don-t/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Kareem Darwish, Hamdy Mubarak, Ahmed Abdelali, et al.*2017 · 47 citations*
117. **[Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language Models](https://md.research.elamur.ai/free/en/papers/haber-2024-polysemy-evidence-linguistics-behavioral-science/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Janosch Haber, Massimo Poesio*2024 · 44 citations*
118. **[Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings](https://md.research.elamur.ai/free/en/papers/mihaylov-2016-discourse-relation-sense-classification-cross/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Todor Mihaylov, Anette Frank*2016 · 40 citations*
119. **[CausalGym: Benchmarking causal interpretability methods on linguistic tasks](https://md.research.elamur.ai/free/en/papers/arora-2024-causalgym-benchmarking-causal-interpretability-methods/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aryaman Arora, Dan Jurafsky, Christopher Potts*2024 · 38 citations*
120. **[How to Dissect a Muppet: The Structure of Transformer Embedding Spaces](https://md.research.elamur.ai/free/en/papers/mickus-2022-how-dissect-muppet-structure-transformer/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Timothee Mickus, Denis Paperno, Mathieu Constant*2022 · 31 citations*
121. **[Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning](https://md.research.elamur.ai/free/en/papers/faruqui-2016-morpho-syntactic-lexicon-generation-graph/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Manaal Faruqui, Ryan McDonald, Radu Soricut*2016 · 31 citations*
122. [**Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims arXiv:2109.15118 · CLEF-2019**Tamer Elsayed, Preslav Nakov, Alberto Barron-Cedeno, et al.*2019 · 23 citations*](https://md.research.elamur.ai/free/en/papers/elsayed-2021-overview-clef-2019-checkthat-automatic/)
123. **[Generating Image Captions in Arabic using Root-Word Based Recurrent Neural Networks and Deep Neural Networks](https://md.research.elamur.ai/free/en/papers/jindal-2018-generating-image-captions-arabic-root/) [Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop](https://md.research.elamur.ai/free/en/venues/conference-of-the-north-american-chapter-of-the-association-for-computational/)**Vasu Jindal*2018 · 23 citations*
124. **[LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting](https://md.research.elamur.ai/free/en/papers/nagoudi-2017-lim-lig-semeval-2017-task1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**El Moatez Billah Nagoudi, Jérémy Ferrero, Didier Schwab*2017 · 21 citations*
125. [**Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF Approach**Shafiq Joty, Tasnim Mohiuddin*2018 · 20 citations*](https://md.research.elamur.ai/free/en/papers/joty-2018-modeling-speech-acts-asynchronous-conversations/)
126. [**Towards Universal Dialogue Act Tagging for Task-Oriented Dialogues**Shachi Paul, Rahul Goel, Dilek Hakkani-Tur*2019 · 19 citations*](https://md.research.elamur.ai/free/en/papers/paul-2019-towards-universal-dialogue-act-tagging/)
127. **[ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer](https://md.research.elamur.ai/free/en/papers/jibril-2022-anec-amharic-named-entity-corpus/) [IEEE Access](https://md.research.elamur.ai/free/en/venues/ieee-access/)**Ebrahim Chekol Jibril, A. Cuneyd Tant\ug*2022 · 18 citations*
128. **[Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural Networks](https://md.research.elamur.ai/free/en/papers/guggilla-2016-discrimination-between-similar-languages-varieties/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chinnappa Guggilla*2016 · 18 citations*
129. **[ARN: Analogical Reasoning on Narratives](https://md.research.elamur.ai/free/en/papers/sourati-2024-arn-analogical-reasoning-narratives/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhivar Sourati, Filip Ilievski, Pia Sommerauer, et al.*2024 · 17 citations*
130. [**Orion-14B: Open-source Multilingual Large Language Models arXiv:2401.12246**Du Chen, Yi Huang, Xiaopu Li, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-orion-14b-open-source/)
131. **[Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus](https://md.research.elamur.ai/free/en/papers/belinkov-2018-studying-history-arabic-language-language/) [Language Resources and Evaluation](https://md.research.elamur.ai/free/en/venues/language-resources-and-evaluation/)**Yonatan Belinkov, Alexander Magidow, Alberto Barron-Cedeno, et al.*2018 · 12 citations*
132. **[AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender](https://md.research.elamur.ai/free/en/papers/zhao-2025-adasteer-your-aligned-llm-is/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weixiang Zhao, Jiahe Guo, Yulin Hu, et al.*2025 · 11 citations*
133. **[Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations](https://md.research.elamur.ai/free/en/papers/ji-2025-calibrating-verbal-uncertainty-as-linear/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.*2025 · 11 citations*
134. [**Semantic properties of English nominal pluralization: Insights from word embeddings**Elnaz Shafaei-Bajestan, Masoumeh Moradipour-Tari, Peter Uhrig, et al.*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shafaei-bajestan-2022-semantic-properties-english-nominal-pluralization/)
135. **[Adapting Event Embedding for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/pacheco-2016-adapting-event-embedding-implicit-discourse/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, et al.*2016 · 11 citations*
136. **[LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing](https://md.research.elamur.ai/free/en/papers/palma-2025-llamas-have-feelings-too-unveiling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dario Di Palma, Alessandro De Bellis, Giovanni Servedio, et al.*2025 · 10 citations*
137. **[Marked Attribute Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/dawkins-2021-marked-attribute-bias-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hillary Dawkins*2021 · 10 citations*
138. **[Grammar and Meaning: Analysing the Topology of Diachronic Word Embeddings](https://md.research.elamur.ai/free/en/papers/bizzoni-2019-grammar-meaning-analysing-topology-diachronic/) [Proceedings for the International Workshop on Computational Approaches to Language Change](https://md.research.elamur.ai/free/en/venues/lchange/)**Yuri Bizzoni, Stefania Degaetano-Ortlieb, Katrin Menzel, et al.*2019 · 9 citations*
139. **[Adaptation of Hierarchical Structured Models for Speech Act Recognition in Asynchronous Conversation](https://md.research.elamur.ai/free/en/papers/mohiuddin-2019-adaptation-hierarchical-structured-models-speech/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tasnim Mohiuddin, Thanh-Tung Nguyen, Shafiq Joty*2019 · 7 citations*
140. **[Answer Selection in Arabic Community Question Answering: A Feature-Rich Approach](https://md.research.elamur.ai/free/en/papers/belinkov-2015-answer-selection-arabic-community-question/) [Workshop on Arabic Natural Language Processing](https://md.research.elamur.ai/free/en/venues/workshop-on-arabic-natural-language-processing/)**Yonatan Belinkov, Alberto Barrón-Cedeño, Hamdy Mubarak*2015 · 5 citations*
141. [**Fixing the Infix: Unsupervised Discovery of Root-and-Pattern Morphology**Tarek Sakakini, Suma Bhat, Pramod Viswanath*2017 · 4 citations*](https://md.research.elamur.ai/free/en/papers/sakakini-2017-fixing-infix-unsupervised-discovery-root/)
142. [**Probabilistic Modelling of Morphologically Rich Languages**Jan A. Botha*2015 · 4 citations*](https://md.research.elamur.ai/free/en/papers/botha-2015-probabilistic-modelling-morphologically-rich-languages/)
143. **[Steering Large Language Models for Machine Translation Personalization](https://md.research.elamur.ai/free/en/papers/scalena-2026-steering-large-language-models-machine/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Daniel Scalena, Gabriele Sarti, Arianna Bisazza, et al.*2026 · 3 citations*
144. **[ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/nagoudi-2018-arb-sen-semeval-2018-task1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**El Moatez Billah Nagoudi*2018 · 3 citations*
145. **[Comparing Native and Learner Englishes Using a Large Pre-trained Language Model](https://md.research.elamur.ai/free/en/papers/aoyama-2022-comparing-native-learner-englishes-large/) [Workshop on Natural Language Processing for Computer Assisted Language Learning](https://md.research.elamur.ai/free/en/venues/nlp4call/)**Tatsuya Aoyama*2022 · 2 citations*
146. **[From Weights to Activations: Is Steering the Next Frontier of Adaptation?](https://md.research.elamur.ai/free/en/papers/ostermann-2026-weights-activations-is-steering-next/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.*2026 · 1 citation*
147. **[In-Distribution Steering: Balancing Control and Coherence in Language Model Generation](https://md.research.elamur.ai/free/en/papers/vogels-2026-distribution-steering-balancing-control-coherence/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Arthur Vogels, Benjamin Wong, Yann Choho, et al.*2026 · 1 citation*
148. **[Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research](https://md.research.elamur.ai/free/en/papers/petersen-2026-modelling-analogies-analogical-reasoning-connecting/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Molly R. Petersen, Claire E. Stevenson, Lonneke van der Plas*2026 · 1 citation*
149. **[Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-representation-interventions-enable-lifelong-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuyuan Liu, Shengyu Chen, Xinshuai Dong, et al.*2026 · 1 citation*
150. **[Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic](https://md.research.elamur.ai/free/en/papers/reif-2026-vocab-diet-reshaping-vocabulary-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuval Reif, Guy Kaplan, Roy Schwartz*2026 · 1 citation*
151. **[Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics](https://md.research.elamur.ai/free/en/papers/xu-2026-why-steering-works-unified-view/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Chenyan WU, Hengyu Sun, et al.*2026 · 1 citation*
152. **[UWB at Arabic Reverse Dictionary shared task: Computing the meaning of a gloss](https://md.research.elamur.ai/free/en/papers/taylor-2023-uwb-arabic-reverse-dictionary-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Stephen Taylor*2023 · 1 citation*
153. **[Semi-Automatic Construction of a Textual Entailment Dataset: Selecting Candidates with Vector Space Models](https://md.research.elamur.ai/free/en/papers/fonseca-2015-semi-automatic-construction-textual-entailment/) [Brazilian Symposium in Information and Human Language Technology](https://md.research.elamur.ai/free/en/venues/stil/)**Erick R. Fonseca, Sandra Maria Aluísio*2015 · 1 citation*
154. **[A Feature-Driven Tensor Semantics for Minimalist Grammars](https://md.research.elamur.ai/free/en/papers/paulson-2026-feature-driven-tensor-semantics-minimalist/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**John Paulson, Aniello De Santo, Jonathan Rawski*2026*
155. **[A framework for analyzing concept representations in neural models](https://md.research.elamur.ai/free/en/papers/naowarat-2026-framework-analyzing-concept-representations-neural/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Burin Naowarat, Hao Tang, Sharon Goldwater*2026*
156. **[AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations](https://md.research.elamur.ai/free/en/papers/yao-2026-adaptivek-complexity-driven-sparse-autoencoders/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifei Yao, Hanrong Zhang, Mengnan Du*2026*
157. **[How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities](https://md.research.elamur.ai/free/en/papers/xu-2026-how-controllable-are-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Kewei Xu, Haoming Xu, et al.*2026*
158. **[Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/zheng-2026-model-directions-not-words-mechanistic/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, et al.*2026*
159. [**Addressing Community Question Answering in English and Arabic arXiv:1610.05522**Giovanni Da San Martino, Alberto Barron-Cedeno, Salvatore Romeo, et al.*2016*](https://md.research.elamur.ai/free/en/papers/martino-2016-addressing-community-question-answering-english/)
160. [**Introducing, evaluating ukWaC, a very large web-derived corpus of English Proceedings of the 4th Web as Corpus Workshop**Adriano Ferraresi, Eros Zanchetta, Marco Baroni, et al.*2008*](https://md.research.elamur.ai/free/en/papers/ferraresi-2008-introducing-evaluating-ukwac-very-large/)

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