5 papers
SCOUT: Active Information Foraging for Long-Text Understanding with Decoupled Epistemic States
Zhenliang Zhang, Wenqing Wang, Yong Hu +4
Long-Text Understanding (LTU) at million-token scale requires balancing reasoning fidelity with computational efficiency. Frontier long-context LLMs can process millions of token c…
BiT-MCTS: A Theme-based Bidirectional MCTS Approach to Chinese Fiction Generation
Zhaoyi Li, Xu Zhang, Xiaojun Wan
Generating long-form linear fiction from open-ended themes remains a major challenge for large language models, which frequently fail to guarantee global structure and narrative di…
WikiTableEdit: A Benchmark for Table Editing by Natural Language Instruction
Zheng Li, Xiang Chen, Xiaojun Wan
Tabular data, as a crucial form of data representation, exists in diverse formats on the Web. When confronted with complex and irregular tables, manual modification becomes a labor…
WikiIns: A High-Quality Dataset for Controlled Text Editing by Natural Language Instruction
Xiang Chen, Zheng Li, Xiaojun Wan
Text editing, i.e., the process of modifying or manipulating text, is a crucial step in human writing process. In this paper, we study the problem of controlled text editing by nat…
Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models
Xiang Chen, Xiaojun Wan
Advancements in natural language generation (NLG) and large language models (LLMs) have led to proficient text generation in various tasks. However, integrating intricate constrain…