Papers
Tool Calling for Arabic LLMs: Data Strategies and Instruction Tuning
Asım Ersoy, Enes Altinisik, Kareem Mohamed Darwish et al.
ToolHaystack: Stress-Testing Tool-Augmented Language Models in Realistic Long-Term Interactions
Beong-woo Kwak, Minju Kim, Dongha Lim et al.
Tool Preferences in Agentic LLMs are Unreliable
Kazem Faghih, Wenxiao Wang, Yize Cheng et al.
ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations
Yuejin Xie, Youliang Yuan, Wenxuan Wang et al.
Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization
Yunyue Su, Zhang Jinshuai, Bowen Fang et al.
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
Yirong Zeng, Xiao Ding, Yutai Hou et al.
TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
Yulin Chen, Haoran Li, Yuexin Li et al.
Topic Coverage-based Demonstration Retrieval for In-Context Learning
Wonbin Kweon, SeongKu Kang, Runchu Tian et al.
Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization
Chuyuan Li, Austin Xu, Shafiq Joty et al.
TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation
Armel Randy Zebaze, Benoît Sagot, Rachel Bawden
TORSO: Template-Oriented Reasoning Towards General Tasks
Minhyuk Kim, Seungyoon Lee, Heuiseok Lim
To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging
Zitao Fang, Guodong Du, Shuyang Yu et al.
TounsiBench: Benchmarking Large Language Models for Tunisian Arabic
Souha Ben Hassine, Asma Arrak, Marouene Addhoum et al.
Toward Culturally-Aware Arabic Debate Platforms with NLP Support
Khalid Al Khatib, Mohammad Khader
Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models
Ikhyun Cho, Julia Hockenmaier
Toward Human-Centered Readability Evaluation
Bahar İlgen, Georges Hattab
Toward Inclusive Language Models: Sparsity-Driven Calibration for Systematic and Interpretable Mitigation of Social Biases in LLMs
Prommy Sultana Hossain, Chahat Raj, Ziwei Zhu et al.
Toward Machine Interpreting: Lessons from Human Interpreting Studies
Matthias Sperber, Maureen de Seyssel, Jiajun Bao et al.
Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations
Yimin Xiao, Yongle Zhang, Dayeon Ki et al.
Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning
Xintong Li, Jalend Bantupalli, Ria Dharmani et al.
Toward Optimal LLM Alignments Using Two-Player Games
Rui Zheng, Hongyi Guo, Zhihan Liu et al.
Toward Reliable Clinical Coding with Language Models: Verification and Lightweight Adaptation
Moy Yuan, Han-Chin Shing, Mitch Strong et al.
Towards Achieving Concept Completeness for Textual Concept Bottleneck Models
Milan Bhan, Yann Choho, Jean-Noël Vittaut et al.
Towards Adding Arabic to CorefUD
Dima Taji, Daniel Zeman
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
Chuxue Cao, Mengze Li, Juntao Dai et al.