1 citations · 1 across the 4 of their papers we have counts for
4 papers
OTSS: Output-Targeted Soft Segmentation for Contextual Decision-Weight Learning
Renjun Hu, Hyun-Soo Ahn
Many machine learning systems make constrained decisions by optimizing factorized objectives, but the context-specific objective is often treated as fixed. We study contextual deci…
Automating Complex Document Workflows via Stepwise and Rollback-Enabled Operation Orchestration
Yanbin Zhang, Hanhui Ye, Yue Bai +4
Workflow automation promises substantial productivity gains in everyday document-related tasks. While prior agentic systems can execute isolated instructions, they struggle with au…
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
Yifei Yuan, Jiatong Li, Weijia Zhang +3
Recent studies show the promise of large language models (LLMs) for few-shot tabular classification but highlight challenges due to the variability in structured data. To address t…
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite
Yifei Yuan, Chen Shi, Runze Wang +5
Generative query rewrite generates reconstructed query rewrites using the conversation history while rely heavily on gold rewrite pairs that are expensive to obtain. Recently, few-…