Papers
tinaal at SemEval-2025 Task 11: Enhancing Perceived Emotion Intensity Prediction with Boosting Fine-Tuned Transformers
Ting Zhu, Liting Huang, Huizhi Liang
TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking
Shahriar Kabir Nahin, Rabindra Nath Nandi, Sagor Sarker et al.
TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization
Melody Bechler, Carly Crowther, Emily Luedke et al.
TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes
Raj Sanjay Shah, Lei Xu, Qianchu Liu et al.
To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems
Daniel Rim, Minsoo Cho, Changwoo Chun et al.
To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
Haozhe Wang, Long Li, Chao Qu et al.
TokAlign: Efficient Vocabulary Adaptation via Token Alignment
Chong Li, Jiajun Zhang, Chengqing Zong
Token-Budget-Aware LLM Reasoning
Tingxu Han, Zhenting Wang, Chunrong Fang et al.
Tokenisation is NP-Complete
Philip Whittington, Gregor Bachmann, Tiago Pimentel
Tokenization is Sensitive to Language Variation
Anna Wegmann, Dong Nguyen, David Jurgens
Token-level Preference Self-Alignment Optimization for Multi-style Outline Controllable Generation
Zihao Li, Xuekong Xu, Ziyao Chen et al.
Token Level Routing Inference System for Edge Devices
Jianshu She, Wenhao Zheng, Zhengzhong Liu et al.
Token-level semantic typology without a massively parallel corpus
Barend Beekhuizen
Token Prepending: A Training-Free Approach for Eliciting Better Sentence Embeddings from LLMs
Yuchen Fu, Zifeng Cheng, Zhiwei Jiang et al.
Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?
Zichen Wen, Yifeng Gao, Weijia Li et al.
TokenShapley: Token Level Context Attribution with Shapley Value
Yingtai Xiao, Yuqing Zhu, Sirat Samyoun et al.
Tone in Perspective: A Computational Typological Analysis of Tone Function in ASR
Siyu Liang, Gina-Anne Levow
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
Hanxing Ding, Shuchang Tao, Liang Pang et al.
ToolExpNet: Optimizing Multi-Tool Selection in LLMs with Similarity and Dependency-Aware Experience Networks
Zijing Zhang, Zhanpeng Chen, He Zhu et al.
ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use
Junjie Ye, Zhengyin Du, Xuesong Yao et al.
Tool learning via Inference-time Scaling and Cycle Verifier
Xiaobo Liang, Wenjin Xie, Juntao Li et al.
ToolReAGt: Tool Retrieval for LLM-based Complex Task Solution via Retrieval Augmented Generation
Norbert Braunschweiler, Rama Doddipatla, Tudor-catalin Zorila
ToolReflection: Improving Large Language Models for Real-World API Calls with Self-Generated Data
Gregory Polyakov, Ilseyar Alimova, Dmitry Abulkhanov et al.
ToolSpectrum: Towards Personalized Tool Utilization for Large Language Models
Zihao Cheng, Hongru Wang, Zeming Liu et al.