Papers
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn et al.
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors
Alex Chandler, Devesh Surve, Hui Su
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs
John Dang, Arash Ahmadian, Kelly Marchisio et al.
Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree
Yuanyuan Lei, Ruihong Huang
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
Zhengmian Hu, Tong Zheng, Heng Huang
Style-Specific Neurons for Steering LLMs in Text Style Transfer
Wen Lai, Viktor Hangya, Alexander Fraser
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
Qizhou Chen, Taolin Zhang, Xiaofeng He et al.
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective
Van-Cuong Pham, Thien Huu Nguyen
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
Yejie Wang, Keqing He, Dayuan Fu et al.
Rethinking the Evaluation of In-Context Learning for LLMs
Guoxin Yu, Lemao Liu, Mo Yu et al.
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick
Nishant Balepur, Matthew Shu, Alexander Hoyle et al.
Are LLMs Good Zero-Shot Fallacy Classifiers?
Fengjun Pan, Xiaobao Wu, Zongrui Li et al.
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
Akash Gupta, Ivaxi Sheth, Vyas Raina et al.
Extracting Prompts by Inverting LLM Outputs
Collin Zhang, John Xavier Morris, Vitaly Shmatikov
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs
Zhiting Fan, Ruizhe Chen, Ruiling Xu et al.
Commonsense Knowledge Editing Based on Free-Text in LLMs
Xiusheng Huang, Yequan Wang, Jun Zhao et al.
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
Aashiq Muhamed, Oscar Li, David Woodruff et al.
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law
Toni J.b. Liu, Nicolas Boulle, Raphaël Sarfati et al.
DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding
Manan Suri, Puneet Mathur, Franck Dernoncourt et al.
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing
Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak
Towards Measuring and Modeling “Culture” in LLMs: A Survey
Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania et al.
Hate Personified: Investigating the role of LLMs in content moderation
Sarah Masud, Sahajpreet Singh, Viktor Hangya et al.
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
Yiming Ju, Ziyi Ni, Xingrun Xing et al.
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
Minsoo Kim, Kyuhong Shim, Jungwook Choi et al.