mlsanityData to 7 Oct 2026

Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs

arXiv 2305.11792 ↗First posted 19 May 2023cs.CL cs.AIcited by 62

On the map: LLM reasoning → Prompting and chain-of-thought reasoning

Abstract (arXiv)

Large Language Models (LLMs), such as textttChatGPT, greatly empower dialogue systems with strong language understanding and generation capabilities. However, most of the previous works prompt the LLMs to directly generate a response based on the dialogue context, overlooking the underlying linguistic cues about the user status exhibited in the context. Such in-depth dialogue scenarios are challenging for existing LLMs to figure out the user's hidden needs and respond satisfactorily through a single-step inference. To this end, we propose a novel linguistic cue-based chain-of-thoughts (textitCue-CoT), which enhances the LLMs inference with an intermediate reasoning step to find cues exhibited in the dialogue, aiming to provide a more personalized and engaging response. To evaluate the approach, we build a benchmark with in-depth dialogue questions, consisting of 6 datasets in both Chinese and English, targeting 3 major linguistic cues during the conversation: textitpersonality, textitemotion, and textitpsychology. We conduct extensive experiments on the proposed benchmark with 5 LLMs under both zero-shot and one-shot settings. Empirical results demonstrate our proposed textitCue-CoT method outperforms standard prompting methods in terms of both textithelpfulness and textitacceptability on all datasets.

Key facts. Cited by 62 papers in the map (data through 7 Oct 2026). Placed in Prompting and chain-of-thought reasoning, one of 17 directions in LLM reasoning. Builds on 42 of its 63 references that are in the map. First posted on arXiv 19 May 2023.

Builds on

42 of 63 references.

Closest ancestors · 7

Same direction, newest first

  1. 2023Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models6 May
  2. 2023Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data24 Feb
  3. 2023Active Prompting with Chain-of-Thought for Large Language Models23 Feb
  4. 2022Automatic Chain of Thought Prompting in Large Language Models7 Oct
  5. 2022Complexity-Based Prompting for Multi-Step Reasoning3 Oct
  6. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Models21 Mar
  7. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Models28 Jan

Other references · 35

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2022Training language models to follow instructions with human feedbackcited by 15,712
  4. 2022Emergent Abilities of Large Language Modelscited by 2,483
  5. 2021What Makes Good In-Context Examples for GPT-3?cited by 1,184
  6. 2022Measuring and Narrowing the Compositionality Gap in Language Modelscited by 1,054
  7. 2022Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agentscited by 1,029
  8. 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,026
  9. 2022STaR: Bootstrapping Reasoning With Reasoningcited by 895
  10. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 888
  11. 2018Personalizing Dialogue Agents: I have a dog, do you have pets too?cited by 820
  12. 2023LaMP: When Large Language Models Meet Personalizationcited by 425
23 more
  1. 2023Is ChatGPT a Good NLG Evaluator? A Preliminary Studycited by 420
  2. 2023A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPTcited by 364
  3. 2022Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoningcited by 331
  4. 2021Towards Emotional Support Dialog Systemscited by 294
  5. 2020A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Supportcited by 182
  6. 2020COSMIC: COmmonSense knowledge for eMotion Identification in Conversationscited by 135
  7. 2020Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skillscited by 130
  8. 2023Finding Support Examples for In-Context Learningcited by 104
  9. 2021PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Supportcited by 92
  10. 2021CEM: Commonsense-aware Empathetic Response Generationcited by 89
  11. 2023Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Casescited by 85
  12. 2022AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversationcited by 79
  13. 2021BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Datacited by 75
  14. 2019A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Datacited by 74
  15. 2023Prompted LLMs as Chatbot Modules for Long Open-domain Conversationcited by 61
  16. 2023Is ChatGPT Equipped with Emotional Dialogue Capabilities?cited by 54
  17. 2021CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generationcited by 42
  18. 2023Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversationscited by 41
  19. 2022PAL: Persona-Augmented Emotional Support Conversation Generationcited by 39
  20. 2022D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chatcited by 37
  21. 2022A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systemscited by 32
  22. 2023Controllable Mixed-Initiative Dialogue Generation through Promptingcited by 32
  23. 2021TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue Systemcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 7; 2024: 23; 2025: 20; 2026: 12.

62 papers.

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  1. 2023A Survey on Evaluation of Large Language Modelscited by 1,227
  2. 2024MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialoguescited by 247
  3. 2023Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agentscited by 76
  4. 2025A Survey of Personalized Large Language Models: Progress and Future Directionscited by 65
  5. 2024Towards Human-centered Proactive Conversational Agentscited by 48
  6. 2024Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMscited by 48
  7. 2024UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systemscited by 38
  8. 2024Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphscited by 38
  9. 2023DialogBench: Evaluating LLMs as Human-like Dialogue Systemscited by 31
  10. 2024Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questionscited by 30
  11. 2024Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanationscited by 30
  12. 2023LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interactioncited by 28
38 more
  1. 2025Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learningcited by 27
  2. 2024Do LLMs estimate uncertainty well in instruction-following?cited by 26
  3. 2025A Survey of Personalization: From RAG to Agentcited by 26
  4. 2024Do LLMs "know" internally when they follow instructions?cited by 25
  5. 2024Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspectivecited by 24
  6. 2025Understanding the Uncertainty of LLM Explanations: A Perspective Based on Reasoning Topologycited by 24
  7. 2025Position: Agent Should Invoke External Tools ONLY When Epistemically Necessarycited by 22
  8. 2023Enhancing Large Language Models Against Inductive Instructions with Dual-critique Promptingcited by 21
  9. 2025Rethinking Stateful Tool Use in Multi-Turn Dialogues: Benchmarks and Challengescited by 12
  10. 2025CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steeringcited by 12
  11. 2025A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directionscited by 9
  12. 2024MentalAgora: A Gateway to Advanced Personalized Care in Mental Health through Multi-Agent Debating and Attribute Controlcited by 8
  13. 2024Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledgecited by 8
  14. 2024Script-Strategy Aligned Generation: Aligning LLMs with Expert-Crafted Dialogue Scripts and Therapeutic Strategies for Psychotherapycited by 7
  15. 2024Script-Based Dialog Policy Planning for LLM-Powered Conversational Agents: A Basic Architecture for an "AI Therapist"cited by 7
  16. 2025SocialSim: Towards Socialized Simulation of Emotional Support Conversationcited by 7
  17. 2025ToolSpectrum : Towards Personalized Tool Utilization for Large Language Modelscited by 6
  18. 2025What Makes a Good Natural Language Prompt?cited by 6
  19. 2023Large Language Models can Share Images, Too!cited by 5
  20. 2024Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversationscited by 5
  21. 2025SI-Bench: Benchmarking Social Intelligence of Large Language Models in Human-to-Human Conversationscited by 5
  22. 2024Towards Goal-oriented Prompt Engineering for Large Language Models: A Surveycited by 3
  23. 2024Conversational Disease Diagnosis via External Planner-Controlled Large Language Modelscited by 3
  24. 2024Cognition Chain for Explainable Psychological Stress Detection on Social Mediacited by 3
  25. 2025MADP: Multi-Agent Deductive Planning for Enhanced Cognitive-Behavioral Mental Health Question Answercited by 3
  26. 2026EXACT: Explicit Attribute-Guided Decoding-Time Personalizationcited by 3
  27. 2023Illuminating the Black Box: A Psychometric Investigation into the Multifaceted Nature of Large Language Modelscited by 2
  28. 2024Document-Level Event Extraction with Definition-Driven ICLcited by 2
  29. 2024NILE: Internal Consistency Alignment in Large Language Modelscited by 2
  30. 2025When LLMs Team Up: The Emergence of Collaborative Affective Computingcited by 2
  31. 2025CARE: Cognitive-reasoning Augmented Reinforcement for Emotional Support Conversationcited by 2
  32. 2024Investigating Content Planning for Navigating Trade-offs in Knowledge-Grounded Dialoguecited by 1
  33. 2024From Generalist to Specialist: Improving Large Language Models for Medical Physics Using ARCoTcited by 1
  34. 2025AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberationcited by 1
  35. 2025UniTransfer: Video Concept Transfer via Progressive Spatial and Timestep Decompositioncited by 1
  36. 2025CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Modelscited by 1
  37. 2026coTherapist: A Behavior-Aligned Small Language Model to Support Mental Healthcare Expertscited by 1
  38. 2026A Concise Agent is Less Expert: Revealing Side Effects of Using Style Features on Conversational Agentscited by 1

50 most cited of 62 All 62 (JSON)

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  1. 2023Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration
  2. 2024ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
  3. 2025Can Speech LLMs Think while Listening?
  4. 2025Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data
  5. 2023R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context
  6. 2024FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs' Responsiveness to Human Feedback
  7. 2024Larger Language Models Don't Care How You Think: Why Chain-of-Thought Prompting Fails in Subjective Tasks
  8. 2024Leveraging LLMs for Dialogue Quality Measurement