Papers
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch, Maor Ivgi, Emily Xiao et al.
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
Jianyu Liu, Hangyu Guo, Ranjie Duan et al.
Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
Soyoung Yang, Hojun Cho, Jiyoung Lee et al.
Bayelemabaga: Creating Resources for Bambara NLP
Allahsera Auguste Tapo, Kevin Assogba, Christopher M Homan et al.
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
Jacob K Christopher, Brian R. Bartoldson, Tal Ben-Nun et al.
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
Margaret Mitchell, Giuseppe Attanasio, Ioana Baldini et al.
Prompting with Phonemes: Enhancing LLMs’ Multilinguality for Non-Latin Script Languages
Hoang H Nguyen, Khyati Mahajan, Vikas Yadav et al.
Few-shot Personalization of LLMs with Mis-aligned Responses
Jaehyung Kim, Yiming Yang
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
Orion Weller, Benjamin Chang, Sean MacAvaney et al.
Beyond the Safety Bundle: Auditing the Helpful and Harmless Dataset
Khaoula Chehbouni, Jonathan Colaço Carr, Yash More et al.
AI-LieDar : Examine the Trade-off Between Utility and Truthfulness in LLM Agents
Zhe Su, Xuhui Zhou, Sanketh Rangreji et al.
Causally Modeling the Linguistic and Social Factors that Predict Email Response
Yinuo Xu, Hong Chen, Sushrita Rakshit et al.
AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs
Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D Phan et al.
PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics
Daniil Larionov, Steffen Eger
Robust and Unbounded Length Generalization in Autoregressive Transformer-Based Text-to-Speech
Eric Battenberg, RJ Skerry-Ryan, Daisy Stanton et al.
E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions
Hongbo Zheng, Suyuan Wang, Neeraj Gangwar et al.
ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation
Yanzhou Pan, Huawei Lin, Yide Ran et al.
Analyzing and Improving Coherence of Large Language Models in Question Answering
Ivano Lauriola, Stefano Campese, Alessandro Moschitti
Guiding Medical Vision-Language Models with Diverse Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations
Kangyu Zhu, Ziyuan Qin, Huahui Yi et al.
Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming
Zhenghao Zhou, Robert Frank, R. Thomas McCoy
InfoPO: On Mutual Information Maximization for Large Language Model Alignment
Teng Xiao, Zhen Ge, Sujay Sanghavi et al.
On the Impact of Fine-Tuning on Chain-of-Thought Reasoning
Elita Lobo, Chirag Agarwal, Himabindu Lakkaraju
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
Kangjun Noh, Baekryun Seong, Hoyoon Byun et al.
Are Multimodal LLMs Robust Against Adversarial Perturbations? RoMMath: A Systematic Evaluation on Multimodal Math Reasoning
Yilun Zhao, Guo Gan, Chengye Wang et al.
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge
Han Wang, Archiki Prasad, Elias Stengel-Eskin et al.