A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems (2024 · 130 citations)
Multi-turn dialogue systems must track earlier turns, not only the latest message. This creates problems that single-turn systems avoid: long-range dependencies, consistency across turns, and vague or partial user input. Older rule-based, retrieval-based and neural systems handled these poorly and needed expensive…
Too Good to be Bad: On the Failure of LLMs to Role-Play Villains (2026 · 3 citations)
LLMs are increasingly used for interactive fiction, games and co-written stories, yet nobody had systematically checked whether they can convincingly play antagonists.
Attention Basin: Why Contextual Position Matters in Large Language Models (2026 · 2 citations)
Large language models handle information unevenly depending on where it appears in the prompt. This paper asks why. Across 10 LLMs, the authors measured how much attention query tokens pay to each block in structured inputs, such as sets of retrieved documents or few-shot examples. Blocks at the start and end of the…

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 76 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated 1 November 2026