Papers
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs
Sihui Yang, Keping Bi, Wanqing Cui et al.
Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas
Salvatore Giorgi, Tingting Liu, Ankit Aich et al.
MUSCLE: A Model Update Strategy for Compatible LLM Evolution
Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli et al.
Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs
Sihang Zhao, Youliang Yuan, Xiaoying Tang et al.
RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
Xijie Huang, Zechun Liu, Shih-Yang Liu et al.
Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell
Muhan Gao, TaiMing Lu, Kuai Yu et al.
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints
Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin et al.
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs?
Yinhao Bai, Zhixin Han, Yuhua Zhao et al.
DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs
Seyed Mahed Mousavi, Simone Alghisi, Giuseppe Riccardi
Exploring the Capability of Multimodal LLMs with Yonkoma Manga: The YManga Dataset and Its Challenging Tasks
Qi Yang, Jingjie Zeng, Liang Yang et al.
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness
Wenjin Yao, Yidong Wang, Zhuohao Yu et al.
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
Minsang Kim, Cheoneum Park, Seung Jun Baek
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters
Jiacheng Liu, Peng Tang, Xiaofeng Hou et al.
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions
Angana Borah, Rada Mihalcea
Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis
Zhiheng Lyu, Zhijing Jin, Fernando Gonzalez Adauto et al.
Improving LLM Attributions with Randomized Path-Integration
Oren Barkan, Yehonatan Elisha, Yonatan Toib et al.
LLM Explainability via Attributive Masking Learning
Oren Barkan, Yonatan Toib, Yehonatan Elisha et al.
Can LLMs Reason in the Wild with Programs?
Yuan Yang, Siheng Xiong, Ali Payani et al.
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
Razvan-Gabriel Dumitru, Paul Ioan Clotan, Vikas Yadav et al.
Can LLM be a Personalized Judge?
Yijiang River Dong, Tiancheng Hu, Nigel Collier
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
Zhexin Zhang, Yida Lu, Jingyuan Ma et al.
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs
Fengzhu Zeng, Wenqian Li, Wei Gao et al.
Exploring Design Choices for Building Language-Specific LLMs
Atula Tejaswi, Nilesh Gupta, Eunsol Choi
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs.
Clement Christophe, Tathagata Raha, Svetlana Maslenkova et al.
MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation
Yusheng Liao, Shuyang Jiang, Zhe Chen et al.