5 papers
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…
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…
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…