Papers
Position: LLM Social Simulations Are a Promising Research Method
Jacy Reese Anthis, Ryan Liu, Sean M Richardson et al.
Position: Beyond Assistance – Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
Abeer Badawi, Md Tahmid Rahman Laskar, Jimmy Huang et al.
Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints
Sam Bowyer, Laurence Aitchison, Desi R. Ivanova
Position: Enough of Scaling LLMs! Lets Focus on Downscaling
Yash Goel, Ayan Sengupta, Tanmoy Chakraborty
Position: The Most Expensive Part of an LLM *should* be its Training Data
Nikhil Kandpal, Colin Raffel
Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences
Kirsten Morehouse, Siddharth Swaroop, Weiwei Pan
Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks
Yanzhou Pan, Jiayi Chen, Jiamin Chen et al.
Position: Principles of Animal Cognition to Improve LLM Evaluations
Sunayana Rane, Cyrus F. Kirkman, Graham Todd et al.
Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning
Hanqi Yan, Linhai Zhang, Jiazheng Li et al.
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning
Liang Zhao, En Yu, Zheng Ge et al.
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng et al.
TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks
Xinhao Xu, Hui Chen, Zijia Lin et al.
Making LLMs as Fine-Grained Relation Extraction Data Augmentor
Yifan Zheng, Wenjun Ke, Qi Liu et al.
MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge
Yuxuan Zhou, Xien Liu, Chen Ning et al.
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Arnav Chavan, Raghav Magazine, Shubham Kushwaha et al.
Upgrading Search Applications in the Era of LLMs: A Demonstration with Practical Lessons
Shuang Yu, Nirandika Wanigasekara, Jeff Tan et al.
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
Axel Abels, Tom Lenaerts
Automated Detection of Pre-training Text in Black-box LLMs
Ruihan Hu, Yu-Ming Shang, Jiankun Peng et al.
Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale Datasets for Responsible LLMs
Sai Krishna Mendu, Harish Yenala, Aditi Gulati et al.
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
Rui Pu, Chaozhuo Li, Rui Ha et al.
IterMeme: Expert-Guided Multimodal LLM for Interactive Meme Creation with Layout-Aware Generation
Yaqi Cai, Shancheng Fang, Yadong Qu et al.