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20242026
most citedA Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

18 citations · 34 across the 17 of their papers we have counts for

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Showing cs.LGShow all

3 papers · 1 filter

cs.LG2025

Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph

Fali Wang, Jihai Chen, Shuhua Yang +7

Test-Time Scaling (TTS) improves large language models (LLMs) by allocating additional computation during inference, typically through parallel, sequential, or hybrid scaling. Howe…

cs.LG2025

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary

Zhiwei Zhang, Hui Liu, Xiaomin Li +10

Reward models trained on human preference data have demonstrated strong effectiveness in aligning Large Language Models (LLMs) with human intent under the framework of Reinforcemen…

cs.LG2024★ 11 cited

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels

Fali Wang, Tianxiang Zhao, Suhang Wang

Few-shot node classification poses a significant challenge for Graph Neural Networks (GNNs) due to insufficient supervision and potential distribution shifts between labeled and un…