Findings of the Association for Computational Linguistics 2024: all accepted papers
- Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models ↗Rui Meng, Ye Liu, Lifu Tu et al.
- Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization ↗Haojie Zhuang, Wei Emma Zhang, Chang Dong et al.
- Transfer Learning for Text Classification via Model Risk Analysis ↗Yujie Sun, Chuyi Fan, Qun Chen
- Translation of Multifaceted Data without Re-Training of Machine Translation Systems ↗Hyeonseok Moon, Seungyoon Lee, SeongTae Hong et al.
- Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision ↗Ryo Yoshida, Taiga Someya, Yohei Oseki
- UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle ↗Yutao Mou, Kexiang Wang, Jianhe Lin et al.
- UGIF-DataSet: A New Dataset for Cross-lingual, Cross-modal Sequential actions on the UI ↗Sagar Gubbi Venkatesh, Partha Talukdar, Srini Narayanan
- Ukrainian Resilience: A Dataset for Detection of Help-Seeking Signals Amidst the Chaos of War ↗Msvpj Sathvik, Abhilash Dowpati, Srreyansh Sethi
- Unified Embeddings for Multimodal Retrieval via Frozen LLMs ↗Ziyang Wang, Heba Elfardy, Markus Dreyer et al.
- Unleashing the Potential of Large Language Models through Spectral Modulation ↗Peng Sun, Yao Zhu, Yunjian Zhang et al.
- Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models ↗Shitian Zhao, Renrui Zhang, Xu Luo et al.
- Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models ↗Mingda Li, Xinyu Li, Yifan Chen et al.
- Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures ↗Junjie Chen, Xiangheng He, Danushka Bollegala et al.
- Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models ↗Yiming Chen, Chen Zhang, Danqing Luo et al.
- Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm ↗Shaobo Cui, Yiyang Feng, Yisong Mao et al.
- VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE ↗Zhenyi Wang, Haiyan Ning, Qing Ling et al.
- VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder ↗Yueen Ma, DaFeng Chi, Jingjing Li et al.
- ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions ↗Chan Young Park, Shuyue Stella Li, Hayoung Jung et al.
- Variational Language Concepts for Interpreting Foundation Language Models ↗Hengyi Wang, Shiwei Tan, Zhiqing Hong et al.
- Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models ↗Chang-Sheng Kao, Yun-Nung Chen
- What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition ↗Carolin Holtermann, Markus Frohmann, Navid Rekabsaz et al.
- When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context ↗Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton et al.
- When is a Language Process a Language Model? ↗Li Du, Holden Lee, Jason Eisner et al.
- When the Misidentified Adverbial Phrase Functions as a Complement ↗Yige Chen, Kyuwon Kim, KyungTae Lim et al.
- Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition ↗Laura Mascarell, Yan LHomme, Majed El Helou
- Who Wrote When? Author Diarization in Social Media Discussions ↗Benedikt Boenninghoff, Henry Hosseini, Robert M. Nickel et al.
- Why Generate When You Can Discriminate? A Novel Technique for Text Classification using Language Models ↗Sachin Pawar, Nitin Ramrakhiyani, Anubhav Sinha et al.
- XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference ↗Joao Monteiro, Étienne Marcotte, Pierre-Andre Noel et al.
- ZSEE: A Dataset based on Zeolite Synthesis Event Extraction for Automated Synthesis Platform ↗Song He, Xin Peng, Yihan Cai et al.
- “Get Their Hands Dirty, Not Mine”: On Researcher-Annotator Collaboration and the Agency of Annotators ↗Shengqi Zhu, Jeffrey Rzeszotarski
- “Tell me who you are and I tell you how you argue”: Predicting Stances and Arguments for Stakeholder Groups ↗Philipp Heinisch, Lorik Dumani, Philipp Cimiano et al.
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