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cs.CL2026

InsightChain: Optimized Chain-of-Insight Analytics for LLM-driven Data Visualization

Hanya Sun, Chen Zhang, Sheng Liang +2

Large language models (LLMs) are increasingly used for automated data visualization, yet existing approaches often frame visualization generation as a single-step mapping from user…

cs.CL2026

IE as Cache: Information Extraction Enhanced Agentic Reasoning

Hang Lv, Sheng Liang, Hongchao Gu +5

Information Extraction aims to distill structured, decision-relevant information from unstructured text, serving as a foundation for downstream understanding and reasoning. However…

cs.CL2026

SpecSteer: Synergizing Local Context and Global Reasoning for Efficient Personalized Generation

Hang Lv, Sheng Liang, Hao Wang +6

Realizing personalized intelligence faces a core dilemma: sending user history to centralized large language models raises privacy concerns, while on-device small language models l…

cs.CL2025

Query-Centric Graph Retrieval Augmented Generation

Yaxiong Wu, Jianyuan Bo, Yongyue Zhang +2

Graph-based retrieval-augmented generation (RAG) enriches large language models (LLMs) with external knowledge for long-context understanding and multi-hop reasoning, but existing…

cs.CL2025

SGMem: Sentence Graph Memory for Long-Term Conversational Agents

Yaxiong Wu, Yongyue Zhang, Sheng Liang +1

Long-term conversational agents require effective memory management to handle dialogue histories that exceed the context window of large language models (LLMs). Existing methods ba…

cs.CL2025

CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering

Hang Lv, Sheng Liang, Hao Wang +6

Personalization has become crucial for adapting models to the diverse and evolving needs of users across cultural, temporal, and contextual dimensions. While existing methods often…