{"work":{"id":"9b4fa784-bc79-4e0d-bf71-1b63249eb302","openalex_id":null,"doi":null,"arxiv_id":"2504.04717","raw_key":null,"title":"Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models","authors":null,"authors_text":null,"year":2025,"venue":"cs.CL","abstract":"Recent advances in large language models (LLMs) have substantially improved single-turn task performance, yet real-world applications increasingly demand sophisticated multi-turn interactions. This survey provides a comprehensive review of recent progress in evaluating and enhancing multi-turn LLM interactions. Centered on a task-oriented taxonomy-spanning instruction following in domains such as mathematics and coding, and conversational engagement in role-playing, healthcare, education, and adversarial jailbreak settings-we systematically examine the challenges of maintaining context, coherence, fairness, and responsiveness across prolonged dialogues. We organize existing benchmarks and datasets into coherent categories reflecting the evolving landscape of multi-turn dialogue evaluation, and review a broad spectrum of enhancement methodologies, including model-centric strategies (in-context learning, supervised fine-tuning, reinforcement learning, and architectural innovations), external integration approaches (memory augmentation, retrieval-based methods, and knowledge graphs), and agent-based techniques for collaborative interaction. Finally, we identify open challenges and promising directions for future research to further improve the robustness and effectiveness of multi-turn LLM interactions.","external_url":"https://arxiv.org/abs/2504.04717","cited_by_count":null,"metadata_source":"pith","metadata_fetched_at":"2026-07-04T01:19:21.999006+00:00","pith_arxiv_id":"2504.04717","created_at":"2026-05-11T09:51:01.080591+00:00","updated_at":"2026-07-04T01:19:21.999006+00:00","title_quality_ok":true,"display_title":"Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models","render_title":"Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models"},"hub":{"state":{"work_id":"9b4fa784-bc79-4e0d-bf71-1b63249eb302","tier":"hub","tier_reason":"10+ Pith inbound or 1,000+ external citations","pith_inbound_count":14,"external_cited_by_count":null,"distinct_field_count":6,"first_pith_cited_at":"2026-03-18T18:10:37+00:00","last_pith_cited_at":"2026-07-01T10:44:57+00:00","author_build_status":"not_needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"not_needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-07-08T05:11:49.131434+00:00","tier_text":"hub"},"tier":"hub","role_counts":[{"context_role":"background","n":2}],"polarity_counts":[{"context_polarity":"background","n":2}],"runs":{},"summary":{},"graph":{},"authors":[]}}