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Linxi Su

2 accepted papers

2025

ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents

ACL 2025long

Dialogue agents powered by Large Language Models (LLMs) show superior performance in various tasks. Despite the better user understanding and human-like responses, their **lack of controllability** remains a key challenge, often leading to unfocused conversations or task failure. To address this, we…

2025

C²RBench: A Chinese Complex Reasoning Benchmark for Large Language Models

ACL 2025finding

Large language models (LLMs) have achieved remarkable progress in autonomous reasoning, evolving from basic text processing to sophisticated multimodal reasoning, a critical capability for general-purpose AI assistants. However, existing benchmarks usually fail to adequately capture the intricate mu…