Papers
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights
Hao Yang, Lizhen Qu, Ehsan Shareghi et al.
Towards Robust Evaluation of Unlearning in LLMs via Data Transformations
Abhinav Joshi, Shaswati Saha, Divyaksh Shukla et al.
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
Son Quoc Tran, Matt Kretchmar
Towards Robust Speech Representation Learning for Thousands of Languages
William Chen, Wangyou Zhang, Yifan Peng et al.
Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need?
Santosh T.y.s.s, Kevin Ashley, Katie Atkinson et al.
Towards Tool Use Alignment of Large Language Models
Zhi-Yuan Chen, Shiqi Shen, Guangyao Shen et al.
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
Yuping Lin, Pengfei He, Han Xu et al.
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
Hao Sun, Hengyi Cai, Bo Wang et al.
Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates
Yusuke Sakai, Adam Nohejl, Jiangnan Hang et al.
TOWER: Tree Organized Weighting for Evaluating Complex Instructions
Noah Ziems, Zhihan Zhang, Meng Jiang
Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task
Ricardo Rei, Jose Pombal, Nuno M. Guerreiro et al.
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models
Bastien Liétard, Pascal Denis, Mikaela Keller
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method
Yang Trista Cao, Lovely-Frances Domingo, Sarah Gilbert et al.
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo et al.
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
Zheng Hui, Zhaoxiao Guo, Hang Zhao et al.
TpT-ADE: Transformer Based Two-Phase ADE Extraction
Suryamukhi Kuchibhotla, Manish Singh
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems
Yilun Kong, Jingqing Ruan, YiHong Chen et al.
TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation
Jinyuan Fang, Zaiqiao Meng, Craig MacDonald
Tracking the perspectives of interacting language models
Hayden Helm, Brandon Duderstadt, Youngser Park et al.
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models
Rui Meng, Ye Liu, Lifu Tu et al.
Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora
Aleix Sant, Daniel Bardanca, José Ramom Pichel Campos et al.
Training-free Deep Concept Injection Enables Language Models for Video Question Answering
Xudong Lin, Manling Li, Richard Zemel et al.
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation
Yueqi Wang, Zhenrui Yue, Huimin Zeng et al.
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
Andreea Iana, Goran Glavaš, Heiko Paulheim