Papers
CultureInstruct: Curating Multi-Cultural Instructions at Scale
Viet Thanh Pham, Zhuang Li, Lizhen Qu et al.
ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages
Mahta Fetrat Qharabagh, Zahra Dehghanian, Hamid R. Rabiee
SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text Generation
Saurabh Kumar Pandey, Sachin Vashistha, Debrup Das et al.
Matina: A Large-Scale 73B Token Persian Text Corpus
Sara Bourbour Hosseinbeigi, Fatemeh Taherinezhad, Heshaam Faili et al.
IMRRF: Integrating Multi-Source Retrieval and Redundancy Filtering for LLM-based Fake News Detection
Dayang Li, Fanxiao Li, Bingbing Song et al.
B4: A Black-Box Scrubbing Attack on LLM Watermarks
Baizhou Huang, Xiao Pu, Xiaojun Wan
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
Jiayi Wu, Hengyi Cai, Lingyong Yan et al.
KS-Lottery: Finding Certified Lottery Tickets for Multilingual Transfer in Large Language Models
Fei Yuan, Chang Ma, Shuai Yuan et al.
CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells
Atharva Naik, Marcus Alenius, Daniel Fried et al.
Is a Peeled Apple Still Red? Evaluating LLMs’ Ability for Conceptual Combination with Property Type
Seokwon Song, Taehyun Lee, Jaewoo Ahn et al.
Differentially Private Learning Needs Better Model Initialization and Self-Distillation
Ivoline C. Ngong, Joseph Near, Niloofar Mireshghallah
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
Ao Sun, Weilin Zhao, Xu Han et al.
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
Shuyang Yu, Runxue Bao, Parminder Bhatia et al.
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
Dongryeol Lee, Yerin Hwang, Yongil Kim et al.
CAVE: Controllable Authorship Verification Explanations
Sahana Ramnath, Kartik Pandey, Elizabeth Boschee et al.
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
Zeping Li, Xinlong Yang, Ziheng Gao et al.
Knowledge Graph-Guided Retrieval Augmented Generation
Xiangrong Zhu, Yuexiang Xie, Yi Liu et al.
Emergence of Episodic Memory in Transformers: Characterizing Changes in Temporal Structure of Attention Scores During Training
Deven Mahesh Mistry, Anooshka Bajaj, Yash Aggarwal et al.
Vision-Language Models Can Self-Improve Reasoning via Reflection
Kanzhi Cheng, Li YanTao, Fangzhi Xu et al.
Kill two birds with one stone: generalized and robust AI-generated text detection via dynamic perturbations
Yinghan Zhou, Juan Wen, Wanli Peng et al.
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
Nikhil Abhyankar, Vivek Gupta, Dan Roth et al.
UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models
Yijiang River Dong, Hongzhou Lin, Mikhail Belkin et al.
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment
Sizhe Wang, Yongqi Tong, Hengyuan Zhang et al.
On Positional Bias of Faithfulness for Long-form Summarization
David Wan, Jesse Vig, Mohit Bansal et al.
SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
Xianyang Zhan, Agam Goyal, Yilun Chen et al.