| 2023 | A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick |
| 2023 | A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models. Karin de Langis, Dongyeop Kang |
| 2023 | A Minimal Approach for Natural Language Action Space in Text-based Games. Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi |
| 2023 | Alignment via Mutual Information. Shinjini Ghosh, Yoon Kim, Ramón Fernandez Astudillo, Tahira Naseem, Jacob Andreas |
| 2023 | ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang |
| 2023 | Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue. Aron Molnar, Jaap Jumelet, Mario Giulianelli, Arabella Sinclair |
| 2023 | Can Language Models Be Tricked by Language Illusions? Easier with Syntax, Harder with Semantics. Yuhan Zhang, Edward Gibson, Forrest Davis |
| 2023 | Challenging the "One Single Vector per Token" Assumption. Mathieu Dehouck |
| 2023 | ChiSCor: A Corpus of Freely-Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science. Bram van Dijk, Max J. van Duijn, Suzan Verberne, Marco Spruit |
| 2023 | Cross-Document Event Coreference Resolution: Instruct Humans or Instruct GPT? Jin Zhao, Nianwen Xue, Bonan Min |
| 2023 | Enhancing Code-mixed Text Generation Using Synthetic Data Filtering in Neural Machine Translation. Dama Sravani, Radhika Mamidi |
| 2023 | Exploring Transformers as Compact, Data-efficient Language Models. Clayton Fields, Casey Kennington |
| 2023 | Frontmatter. |
| 2023 | Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau |
| 2023 | HNC: Leveraging Hard Negative Captions towards Models with Fine-Grained Visual-Linguistic Comprehension Capabilities. Esra Dönmez, Pascal Tilli, Hsiu-Yu Yang, Ngoc Thang Vu, Carina Silberer |
| 2023 | How Fragile is Relation Extraction under Entity Replacements? Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen |
| 2023 | Humans and language models diverge when predicting repeating text. Aditya R. Vaidya, Javier Turek, Alexander Huth |
| 2023 | Implications of Annotation Artifacts in Edge Probing Test Datasets. Sagnik Ray Choudhury, Jushaan Kalra |
| 2023 | Investigating the Nature of Disagreements on Mid-Scale Ratings: A Case Study on the Abstractness-Concreteness Continuum. Urban Knuples, Diego Frassinelli, Sabine Schulte im Walde |
| 2023 | JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models. Yuiga Wada, Kanta Kaneda, Komei Sugiura |
| 2023 | Med-HALT: Medical Domain Hallucination Test for Large Language Models. Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu |
| 2023 | Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. Lucas Weber, Elia Bruni, Dieuwke Hupkes |
| 2023 | MuLER: Detailed and Scalable Reference-based Evaluation. Taelin Karidi, Leshem Choshen, Gal Patel, Omri Abend |
| 2023 | On the Effects of Structural Modeling for Neural Semantic Parsing. Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao |
| 2023 | On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining. Yassir El Mesbahi, Atif Mahmud, Abbas Ghaddar, Mehdi Rezagholizadeh, Philippe Langlais, Prasanna Parthasarathi |
| 2023 | PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments. Daiki Asami, Saku Sugawara |
| 2023 | PSST! Prosodic Speech Segmentation with Transformers. Nathan Roll, Calbert Graham, Simon Todd |
| 2023 | Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023 Jing Jiang, David Reitter, Shumin Deng |
| 2023 | Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation. Donghyun Lee, Minkyung Park, Byung-Jun Lee |
| 2023 | Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets. Risako Owan, Maria L. Gini, Dongyeop Kang |
| 2023 | REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization. Mohammad Reza Ghasemi Madani, Pasquale Minervini |
| 2023 | Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing. Brielen Madureira, Pelin Çelikkol, David Schlangen |
| 2023 | Strategies to Improve Low-Resource Agglutinative Languages Morphological Inflection. Gulinigeer Abudouwaili, Wayit Abliz, Kahaerjiang Abiderexiti, Aishan Wumaier, Nian Yi |
| 2023 | Structural Ambiguity and its Disambiguation in Language Model Based Parsers: the Case of Dutch Clause Relativization. Gijs Wijnholds, Michael Moortgat |
| 2023 | Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages? Luke Gessler, Nathan Schneider |
| 2023 | The Impact of Familiarity on Naming Variation: A Study on Object Naming in Mandarin Chinese. Yunke He, Xixian Liao, Jialing Liang, Gemma Boleda |
| 2023 | The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. Kaiser Sun, Adina Williams, Dieuwke Hupkes |
| 2023 | The Zipfian Challenge: Learning the statistical fingerprint of natural languages. Christian Bentz |
| 2023 | Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. Max J. van Duijn, Bram van Dijk, Tom Kouwenhoven, Werner de Valk, Marco Spruit, Peter van der Putten |
| 2023 | ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind. Xiaomeng Ma, Lingyu Gao, Qihui Xu |
| 2023 | Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization. Ondrej Skopek, Rahul Aralikatte, Sian Gooding, Victor Carbune |
| 2023 | Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models. Taiga Ishii, Yusuke Miyao |