Papers
Thinking about how to extract: Energizing LLMs’ emergence capabilities for document-level event argument extraction
Kai Shuang, Ji Zhou, Qiwei Wang et al.
Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities
Alex Wilf, Sihyun Lee, Paul Pu Liang et al.
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs
Zae Myung Kim, Kwang Lee, Preston Zhu et al.
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification
Shanshan Xu, Santosh T.y.s.s, Oana Ichim et al.
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements
Xiao Wei, Qi Xu, Hang Yu et al.
TIGFORMER at TextGraphs-17 Shared Task: A Late Interaction Method for text and Graph Representations in KBQA Classification Task
Mayank Rakesh, Parikshit Saikia, Saket Shrivastava
Tightly Coupled Worksheets and Homework Assignments for NLP
Laura Biester, Winston Wu
TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation
Yikai Zhang, Siyu Yuan, Caiyu Hu et al.
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models
Zheng Chu, Jingchang Chen, Qianglong Chen et al.
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
Jaewoo Ahn, Taehyun Lee, Junyoung Lim et al.
Time is Encoded in the Weights of Finetuned Language Models
Kai Nylund, Suchin Gururangan, Noah Smith
Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction
Jianhao Chen, Haoyuan Ouyang, Junyang Ren et al.
Time Sensitive Knowledge Editing through Efficient Finetuning
Xiou Ge, Ali Mousavi, Edouard Grave et al.
TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models’ Theory-of-Mind
Guiyang Hou, Wenqi Zhang, Yongliang Shen et al.
TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization
Jacob Berkowitz, Apoorva Srinivasan, Jose Miguel Acitores Cortina et al.
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback
Eunseop Yoon, Hee Suk Yoon, SooHwan Eom et al.
TMAK-Plus at SIGHAN-2024 dimABSA Task: Multi-Agent Collaboration for Transparent and Rational Sentiment Analysis
Xin Kang, Zhifei Zhang, Jiazheng Zhou et al.
TOAD: Task-Oriented Automatic Dialogs with Diverse Response Styles
Yinhong Liu, Yimai Fang, David Vandyke et al.
To Aggregate or Not to Aggregate. That is the Question: A Case Study on Annotation Subjectivity in Span Prediction
Kemal Kurniawan, Meladel Mistica, Timothy Baldwin et al.
To be Continuous, or to be Discrete, Those are Bits of Questions
Yiran Wang, Masao Utiyama
To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation
Abdul Waheed, Karima Kadaoui, Muhammad Abdul-Mageed
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
Giacomo Frisoni, Alessio Cocchieri, Alex Presepi et al.
Token Alignment via Character Matching for Subword Completion
Ben Athiwaratkun, Shiqi Wang, Mingyue Shang et al.
Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for Maltese
Kurt Abela, Kurt Micallef, Marc Tanti et al.
Token-wise Influential Training Data Retrieval for Large Language Models
Huawei Lin, Jikai Long, Zhaozhuo Xu et al.