Papers
Demystifying Multilingual Reasoning in Process Reward Modeling
Weixuan Wang, Minghao Wu, Barry Haddow et al.
Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants’ Question-Answering in Asynchronous Learning Environments
Li Siyan, Zhen Xu, Vethavikashini Chithrra Raghuram et al.
CAARMA: Class Augmentation with Adversarial Mixup Regularization
Massa Baali, Xiang Li, Hao Chen et al.
SVeritas: Benchmark for Robust Speaker Verification under Diverse Conditions
Massa Baali, Sarthak Bisht, Francisco Teixeira et al.
FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference
Dongwei Wang, Zijie Liu, Song Wang et al.
Data-scarce Behavior Editing of Language Models
Joykirat Singh, Subhabrata Dutta, Tanmoy Chakraborty
DivScene: Towards Open-Vocabulary Object Navigation with Large Vision Language Models in Diverse Scenes
Zhaowei Wang, Hongming Zhang, Tianqing Fang et al.
Sugar-Coated Poison: Benign Generation Unlocks Jailbreaking
Yuhang Wu, Yu-Jie Xiong, Hao Zhang et al.
Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation
Changle Qu, Sunhao Dai, Hengyi Cai et al.
Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
Zhuo Liu, Moxin Li, Xun Deng et al.
Creative Preference Optimization
Mete Ismayilzada, Antonio Laverghetta Jr., Simone A. Luchini et al.
Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus
Pooja Singh, Shashwat Bhardwaj, Vaibhav Sharma et al.
Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry
Shanshan Wang, Junchao Wu, Fengying Ye et al.
Modeling, Evaluating, and Embodying Personality in LLMs: A Survey
Iago Alves Brito, Julia Soares Dollis, Fernanda Bufon Färber et al.
Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes
Tyler Loakman, William Thorne, Chenghua Lin
Efficient Integration of External Knowledge to LLM-based World Models via Retrieval-Augmented Generation and Reinforcement Learning
Chang Yang, Xinrun Wang, Qinggang Zhang et al.
Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection
Hoang Phan, Victor Li, Qi Lei
Likelihood Variance as Text Importance for Resampling Texts to Map Language Models
Momose Oyama, Ryo Kishino, Hiroaki Yamagiwa et al.
Understanding How Value Neurons Shape the Generation of Specified Values in LLMs
Yi Su, Jiayi Zhang, Shu Yang et al.
A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis
Davood Wadi, Marc Fredette
MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue
Yujia Chen, Changsong Li, Yiming Wang et al.
Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment
Somnath Banerjee, Sayan Layek, Pratyush Chatterjee et al.
SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs
Samir Abdaljalil, Filippo Pallucchini, Andrea Seveso et al.
Multilingual Data Filtering using Synthetic Data from Large Language Models
Jonas Waldendorf, Barry Haddow, Alexandra Birch et al.