Papers
Towards Reverse Engineering of Language Models: A Survey
Xinpeng Ti, Wentao Ye, Zhifang Zhang et al.
Towards Robust Few-Shot Relation Classification: Incorporating Relation Description with Agreement
Mengting Hu, Jianfeng Wu, Ming Jiang et al.
Towards Robust Mathematical Reasoning
Thang Luong, Dawsen Hwang, Hoang H Nguyen et al.
Towards Statistical Factuality Guarantee for Large Vision-Language Models
Zhuohang Li, Chao Yan, Nicholas J Jackson et al.
Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis
Tereza Vrabcová, Marek Kadlčík, Petr Sojka et al.
Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications
Kai Tang, Rui Wang, Renyu Zhu et al.
Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach
Eleni Partalidou, Tatiana Passali, Chrysoula Zerva et al.
Towards Universal Debiasing for Language Models-based Tabular Data Generation
Tianchun Li, Tianci Liu, Xingchen Wang et al.
Toward the Automatic Detection of Word Meaning Negotiation Indicators in Conversation
Aina Garí Soler, Matthieu Labeau, Chloé Clavel
Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore’s Low-Resource Languages
Yujia Hu, Ming Shan Hee, Preslav Nakov et al.
TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning
Hang Ni, Fan Liu, Xinyu Ma et al.
TRACE: Training and Inference-Time Interpretability Analysis for Language Models
Nura Aljaafari, Danilo Carvalho, Andre Freitas
Tracing Definitions: Lessons from Alliance Contracts in the Biopharmaceutical Industry
Maximilian Kreutner, Doerte Leusmann, Florian Lemmerich et al.
Tracing L1 Interference in English Learner Writing: A Longitudinal Corpus with Error Annotations
Poorvi Acharya, J. Elizabeth Liebl, Dhiman Goswami et al.
Tracing Multilingual Factual Knowledge Acquisition in Pretraining
Yihong Liu, Mingyang Wang, Amir Hossein Kargaran et al.
Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models
Xiaofan Zheng, Huixuan Zhang, Xiaojun Wan
TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain
Bohao Chu, Meijie Li, Sameh Frihat et al.
Train a Unified Multimodal Data Quality Classifier with Synthetic Data
Weizhi Wang, Rongmei Lin, Shiyang Li et al.
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
Yilong Xu, Jinhua Gao, Xiaoming Yu et al.
Training compute-optimal transformer encoder models
Megi Dervishi, Alexandre Allauzen, Gabriel Synnaeve et al.
Training Language Models to Critique With Multi-agent Feedback
Tian Lan, Wenwei Zhang, Chengqi Lyu et al.
Training LLMs for Optimization Modeling via Iterative Data Synthesis and Structured Validation
Yang Wu, Yifan Zhang, Yurong Wu et al.
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction
Chang Su, Dengliang Shi, Siyuan Huang et al.
Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions
Yue Qiu, Yujan Ting, Pei Dong et al.
Training of LLM-Based List-Wise Multilingual Reranker
Hao Yu, David Ifeoluwa Adelani