Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrationsby Kai Tzu-iunn…
SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understandingby Yazhou Zhang, Chunwang Zou, Zheng Lian,…
AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviewsby Keith Tyser, Ben Segev,…
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learningby Yilun Kong, Hangyu Mao, Qi Zhao,…
HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Modelby Mengkang…
A Comparison of Large Language Model and Human Performance on Random Number Generation Tasksby Rachel…
Simulating Field Experiments with Large Language Modelsby Yaoyu Chen, Yuheng Hu, Yingda LuFirst submitted to…
Temporal Reversal Regularization for Spiking Neural Networks: Hybrid Spatio-Temporal Invariance for Generalizationby Lin Zuo, Yongqi…
The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset Generationby Samee Arif,…
Evaluating the Evaluator: Measuring LLMs’ Adherence to Task Evaluation Instructionsby Bhuvanashree Murugadoss, Christian Poelitz, Ian…