Papers
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
Hao Xu, Rite Bo, Fausto Giunchiglia et al.
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
Yi Hu, Jiaqi Gu, Ruxin Wang et al.
Towards A Scanpath-Conditioned Surprisal Theory: Modeling Reader Information States
Michael Mooney, Edmond S. L. Ho
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents
Yun-Shiuan Chuang, Chaitanya Kulkarni, Alec M. Chiu et al.
Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
Yanrui Du, Fenglei Fan, Sendong Zhao et al.
Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications
Xuan Wang, Shuxiang Cao, Yuchen Zhuang et al.
Towards Efficient and Effective Diffusion Language Model Inference via Semantic-Aware Adaptive Denoising
Fan Li, Yu Gu, Zhigang Wang et al.
Towards Explainable Diagnosis: A Self-learned Explanatory Knowledge Base Approach
Dongqi Huang, Tong Zhou, Zhuoran Jin et al.
Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
Wenwei Li, Ming Xu, Tianle Xia et al.
Towards Fast and Accurate Modeling for Cross-Lingual Label Projection
Thang Le, Huy Huu Nguyen, Anh Tuan Luu et al.
Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training
Yifan Yang, Bing Han, Hui Wang et al.
Towards Fine-grained Audio Captioning with Multimodal Contextual Fusion
Shunian Chen, Xinyuan Xie, Zheshu Chen et al.
Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph
Lirong Gao, Zewei Yu, Zhongrui Yin et al.
Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures
Yutong Gao, Qinglin Meng, Yuan Zhou et al.
Towards Mitigating Modality Bias in Vision-Language Models for Temporal Action Localization
Jiaqi Li, Guangming Wang, Shuntian Zheng et al.
Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization
Xu Chu, Guanyu Wang, Zhijie Tan et al.
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
Jeongho Yoon, Chanhee Park, Yongchan Chun et al.
Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning
Houxing Ren, Mingjie Zhan, Zimu Lu et al.
Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression
Dahyun Jung, Jaewook Lee, Heuiseok Lim
Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts
Di Zhang, Xun Wu, Shaohan Huang et al.
Towards Trustworthy Smart Contract Synthesis: A Multi-Agent Framework with Lean-Based Verification
Bowei Zhang, Hanbing Liu, Qixin Tian et al.
TOWER+: Bridging Generality and Translation Specialization in Multilingual LLMs
Ricardo Rei, Nuno M Guerreiro, José Pombal et al.
TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG
Pengqian Lu, Jie Lu, Anjin Liu et al.
T⋆: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning
Hanchen Xia, Baoyou Chen, Yutang Ge et al.