Papers
Towards Resource-Rich Mizo and Khasi in NLP: Resource Development, Synthetic Data Generation and Model Building
Soumyadip Ghosh, Henry Lalsiam, Dorothy Marbaniang et al.
Towards Reward Fairness in RLHF: From a Resource Allocation Perspective
Sheng Ouyang, Yulan Hu, Ge Chen et al.
Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
Jabin Koo, Minwoo Jang, Jungseul Ok
Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
Keane Ong, Rui Mao, Deeksha Varshney et al.
Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text
Charles Alba, Benjamin C Warner, Akshar Saxena et al.
Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution
Jizhao Zhu, Akang Shi, Zixuan Li et al.
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna et al.
(Towards) Scalable Reliable Automated Evaluation with Large Language Models
Bertil Braun, Martin Forell
Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings
Yubo Ma, Jinsong Li, Yuhang Zang et al.
Towards Style Alignment in Cross-Cultural Translation
Shreya Havaldar, Adam Stein, Eric Wong et al.
Towards Text-Image Interleaved Retrieval
Xin Zhang, Ziqi Dai, Yongqi Li et al.
Towards the Law of Capacity Gap in Distilling Language Models
Chen Zhang, Qiuchi Li, Dawei Song et al.
Towards the Pedagogical Steering of Large Language Models for Tutoring: A Case Study with Modeling Productive Failure
Romain Puech, Jakub Macina, Julia Chatain et al.
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
Jiawei Gu, Ziting Xian, Yuanzhen Xie et al.
Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions
Yiqun Wang, Chaoqun Wan, Sile Hu et al.
Tracking Life’s Ups and Downs: Mining Life Events from Social Media Posts for Mental Health Analysis
Minghao Lv, Siyuan Chen, Haoan Jin et al.
Tracr-Injection: Distilling Algorithms into Pre-trained Language Models
Tomás Vergara Browne, Alvaro Soto
TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge
Cheng-Han Chiang, Hung-yi Lee, Michal Lukasik
Training Bilingual LMs with Data Constraints in the Targeted Language
Skyler Seto, Maartje Ter Hoeve, Richard He Bai et al.
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning
Andrei Mircea, Supriyo Chakraborty, Nima Chitsazan et al.
Training-free LLM Merging for Multi-task Learning
Zichuan Fu, Xian Wu, Yejing Wang et al.
Training Language Model to Critique for Better Refinement
Tianshu Yu, Chao Xiang, Mingchuan Yang et al.
Training Long-Context LLMs Efficiently via Chunk-wise Optimization
Wenhao Li, Yuxin Zhang, Gen Luo et al.
Training Multi-Modal LLMs through Dialogue Planning for HRI
Claudiu Daniel Hromei, Federico Borazio, Andrea Sensi et al.