Papers
The Impact of Reasoning Step Length on Large Language Models
Mingyu Jin, Qinkai Yu, Dong Shu et al.
The KIT Speech Translation Systems for IWSLT 2024 Dialectal and Low-resource Track
Zhaolin Li, Enes Yavuz Ugan, Danni Liu et al.
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
Shuo Zhang, Liangming Pan, Junzhou Zhao et al.
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
Lingfeng Shen, Weiting Tan, Sihao Chen et al.
The MERSA Dataset and a Transformer-Based Approach for Speech Emotion Recognition
Enshi Zhang, Rafael Trujillo, Christian Poellabauer
The Metronome Approach to Sanskrit Meter: Analysis for the Rigveda
Yuzuki Tsukagoshi, Ikki Ohmukai
The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models
Xiliang Zhu, Shayna Gardiner, Tere Roldán et al.
The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models
Jiajia Li, Lu Yang, Mingni Tang et al.
The NYA’s Offline Speech Translation System for IWSLT 2024
Yingxin Zhang, Guodong Ma, Binbin Du
The Parallel Corpus of Russian and Ruska Romani Languages
Kirill Koncha, Abina Kukanova, Kazakova Tatiana et al.
The PGNSC Benchmark: How Do We Predict Where Information Spreads?
Alexander Taylor, Wei Wang
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
Aleix Sant, Carlos Escolano, Audrey Mash et al.
The Power of Summary-Source Alignments
Ori Ernst, Ori Shapira, Aviv Slobodkin et al.
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
Noah Siegel, Oana-Maria Camburu, Nicolas Heess et al.
The Revolution of Multimodal Large Language Models: A Survey
Davide Caffagni, Federico Cocchi, Luca Barsellotti et al.
The SETU-DCU Submissions to IWSLT 2024 Low-Resource Speech-to-Text Translation Tasks
Maria Zafar, Antonio Castaldo, Prashanth Nayak et al.
The State of Relation Extraction Data Quality: Is Bigger Always Better?
Erica Cai, Brendan O’Connor
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
Peter Hase, Mohit Bansal, Peter Clark et al.
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