Papers
Tokenizer-Aware Cross-Lingual Adaptation of Decoder-Only LLMs through Embedding Relearning and Swapping
Fan Jiang, Honglin Yu, Grace Y Chung et al.
Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood
Xingyu Lin, Yilin Wen, Du Su et al.
Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation
Zizhong Li, Haopeng Zhang, Jiawei Zhang
Token Painter: Training-Free Text-Guided Image Inpainting via Mask Autoregressive Models
Longtao Jiang, Jie Huang, Mingfei Han et al.
TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
Chenxu Niu, Wei Zhang, Jie Li et al.
Token Pruning for Improving Graph-Generating State Space Model Performance
Monish Beegamudre, Jack Zheng, Margaret Capetz
TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs
Sibo Xiao, Fu Jinyuan, Zhongle Xie et al.
Token-Wise Kernels (TWiKers) for Vicinity-Aware Attention in Transformers
Kuangdai Leng, Jia Bi, Samuel Pinilla et al.
TokLens: A Multilingual Lens on Tokenizer Quality for LLMs
Guan-Ming Chiu
To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs
Zohaib Khan, Mustafa Dogan, Ifeoma Okoh et al.
To make someone do something: mining alert-style directives in Bulgarian social media for low-resource language modelling
Ruslana Margova, Stanislav Penkov
ToMMeR - Efficient Entity Mention Detection from Large Language Models
Victor Morand, Nadi Tomeh, Josiane Mothe et al.
Tonal Salience in Cognitive Decline: In-Context MCI Detection with Multimodal LLMs
Christopher Song, Abdullah P. Rashed Ahmed
TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents
Bofei Zhang, Zirui Shang, Zhi Gao et al.
TONY: an open-source TOolkit for Nlp in psYchology
Federico Ravenda, Sofia Irene Ravenda, Volodymyr Karpenko et al.
Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data
Zhenwen Liang, Yujun Zhou, Sidi Lu et al.
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
Xingshan Zeng, Weiwen Liu, Xu Huang et al.
ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
Saptarshi Sengupta, Zhengyu Zhou, Jun Araki et al.
ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
Shouzheng Huang, Meishan Zhang, Baotian Hu et al.
Too Long, Didn’t Model: Decomposing LLM Long Context Understanding With Novels
Sil Hamilton, Rebecca Hicke, Mia Ferrante et al.
Too Long, Do Re-weighting for Efficient LLM Reasoning Compression
Zhong-Zhi Li, Xiao Liang, Zihao Tang et al.
ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling
Jianghao Lin, Yuanyuan Shi, Xin Peng et al.
ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering
Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku et al.
ToolSmith: A Multi-Agent Framework for Enterprise Tool Creation
Purna Chandra Sekhar Vakudavathu, Kushal Mukherjee, Jayachandu Bandlamudi et al.