2 papers
cs.CL2026
What if LLMs Ate Their Words: Causal History Effects in Multi-Turn Interaction
Jinnan Li, Zheren Fu, Yue Wang +3
Multi-turn interaction creates a feedback process in which an LLM's previous responses become context for later behavior. Prior work shows substantial multi-turn degradation and th…
cs.CL2025
StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following
Jinnan Li, Jinzhe Li, Yue Wang +2
Multi-turn instruction following capability constitutes a core competency of large language models (LLMs) in real-world applications. Existing evaluation benchmarks predominantly f…