Papers
ToMBench: Benchmarking Theory of Mind in Large Language Models
Zhuang Chen, Jincenzi Wu, Jinfeng Zhou et al.
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies
Changye Li, Zhecheng Sheng, Trevor Cohen et al.
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages
Junjie Ye, Sixian Li, Guanyu Li et al.
Topic Modeling for Short Texts with Large Language Models
Tomoki Doi, Masaru Isonuma, Hitomi Yanaka
TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education
Xinlin Zhuang, Hongyi Wu, Xinshu Shen et al.
Toucan: Many-to-Many Translation for 150 African Language Pairs
AbdelRahim Elmadany, Ife Adebara, Muhammad Abdul-Mageed
Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions
Alexis Ross, Jacob Andreas
Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Dataset
Satanu Ghosh, Neal Brodnik, Carolina Frey et al.
Towards a Clean Text Corpus for Ottoman Turkish
Fatih Karagöz, Berat Doğan, Şaziye Betül Özateş
Towards a new research agenda for multimodal enterprise document understanding: What are we missing?
Armineh Nourbakhsh, Sameena Shah, Carolyn Rose
Towards Artwork Explanation in Large-scale Vision Language Models
Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito et al.
Towards A Unified View of Answer Calibration for Multi-Step Reasoning
Shumin Deng, Ningyu Zhang, Nay Oo et al.
Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing
Hao Yue, Shaopeng Lai, Chengyi Yang et al.
Towards Better Question Generation in QA-based Event Extraction
Zijin Hong, Jian Liu
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient
Mingxin Li, Richong Zhang, Zhijie Nie
Towards Better Utilization of Multi-Reference Training Data for Chinese Grammatical Error Correction
Yumeng Liu, Zhenghua Li, HaoChen Jiang et al.
Towards Demonstration-Aware Large Language Models for Machine Translation
Chen Li, Meishan Zhang, Xuebo Liu et al.
Towards Fairer NLP Models: Handling Gender Bias In Classification Tasks
Nasim Sobhani, Sarah Delany
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering
Tobias Schimanski, Jingwei Ni, Mathias Kraus et al.
Towards ML-supported Triage Prediction in Real-World Emergency Room Scenarios
Faraz Maschhur, Klaus Netter, Sven Schmeier et al.
Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation
Xianfeng Zeng, Yijin Liu, Fandong Meng et al.
Towards Multi-Relational Multi-Hop Reasoning over Dense Temporal Knowledge Graphs
Jian Liu, Zihe Liu, Xueqiang Lyu et al.
Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level
Chenxu Wang, Bin Dai, Huaping Liu et al.
Towards Precise Localization of Critical Errors in Machine Translation
Dahyun Jung, Sugyeong Eo, Heuiseok Lim