2 citations · 2 across the 4 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.RO2025
SEA: Semantic Map Prediction for Active Exploration of Uncertain Areas
Hongyu Ding, Xinyue Liang, Yudong Fang +7
In this paper, we propose SEA, a novel approach for active robot exploration through semantic map prediction and a reinforcement learning-based hierarchical exploration policy. Unl…
cs.CL2025
LLMs Judge Themselves: A Game-Theoretic Framework for Human-Aligned Evaluation
Gao Yang, Yuhang Liu, Siyu Miao +3
Ideal or real - that is the question.In this work, we explore whether principles from game theory can be effectively applied to the evaluation of large language models (LLMs). This…
cs.CL2025★ 2 cited
EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios
Bin Xu, Yu Bai, Huashan Sun +10
As large language models continue to advance, their application in educational contexts remains underexplored and under-optimized. In this paper, we address this gap by introducing…