13 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Confidence Geometry Reveals Trace-Level Correctness in Large Language Model Reasoning
Shuo Liu, Ding Liu, Shi-Ju Ran
Large language models (LLMs) generate not only reasoning text, but also token-level confidence trajectories that record how uncertainty evolves during inference. Whether these traj…
cs.CL2021★ 10 cited
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation
Giovanni Bonetta, Rossella Cancelliere, Ding Liu +1
Transformer-based models have demonstrated excellent capabilities of capturing patterns and structures in natural language generation and achieved state-of-the-art results in many…
cs.SD2017★ 13 cited
Learning audio sequence representations for acoustic event classification
Zixing Zhang, Ding Liu, Jing Han +2
Acoustic Event Classification (AEC) has become a significant task for machines to perceive the surrounding auditory scene. However, extracting effective representations that captur…