6 papers · 1 filter
SITAR: A Situational Distortion Metric for Automatic Speech Recognition Evaluation
Mingzhe Lu, Jinhao Liu, Yunpeng Li +3
In automatic speech recognition (ASR), transcription errors with similar lexical or semantic discrepancies can have markedly different consequences for the situation conveyed by sp…
Controllable Narrative Rendering for Enhanced Assisted Writing
Mingzhe Lu, Yanbing Liu, Jiayue Wu +5
Despite the remarkable proficiency of large language models (LLMs) in basic writing assistance, their utility in creative writing is fundamentally hindered by a persistent binary f…
S^2tory: Story Spine Distillation for Movie Script Summarization
Mingzhe Lu, Yanbing Liu, Qihao Wang +5
Movie scripts pose a fundamental challenge for automatic summarization due to their non-linear, cross-cut narrative structure, which makes surface-level saliency methods ineffectiv…
PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use
Qihao Wang, Mingzhe Lu, Jiayue Wu +2
Large Language Models show great potential with external tools, but face significant challenges in complex, multi-turn tool invocation. They often exhibit weak planning, tool hallu…
Beyond Accuracy: A Cognitive Load Framework for Mapping the Capability Boundaries of Tool-use Agents
Qihao Wang, Yue Hu, Mingzhe Lu +3
The ability of Large Language Models (LLMs) to use external tools unlocks powerful real-world interactions, making rigorous evaluation essential. However, current benchmarks primar…
LitVISTA: A Benchmark for Narrative Orchestration in Literary Text
Mingzhe Lu, Yiwen Wang, Yanbing Liu +8
Computational narrative analysis aims to capture rhythm, tension, and emotional dynamics in literary texts. Existing large language models can generate long stories but overly focu…