mlsanityData to 7 Oct 2026

Reliable Conversational Agents under ASP Control that Understand Natural Language

arXiv 2502.09237 ↗First posted 13 Feb 2025cs.LO cs.CLcited by 0

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

Efforts have been made to make machines converse like humans in the past few decades. The recent techniques of Large Language Models (LLMs) make it possible to have human-like conversations with machines, but LLM's flaws of lacking understanding and reliability are well documented. We believe that the best way to eliminate this problem is to use LLMs only as parsers to translate text to knowledge and vice versa and carry out the conversation by reasoning over this knowledge using the answer set programming. I have been developing a framework based on LLMs and ASP to realize reliable chatbots that "understand" human conversation. This framework has been used to develop task-specific chatbots as well as socialbots. My future research is focused on making these chatbots scalable and trainable.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 11 of its 22 references that are in the map. First posted on arXiv 13 Feb 2025.

Builds on

11 of 22 references.

References · 11

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  4. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  5. 2024Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Modelscited by 67
  6. 2024Reinforcement Learning for Optimizing RAG for Domain Chatbotscited by 26
  7. 2016A Physician Advisory System for Chronic Heart Failure Management Based on Knowledge Patternscited by 13
  8. 2023Reliable Natural Language Understanding with Large Language Models and Answer Set Programmingcited by 12
  9. 2024Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational Systemscited by 7
  10. 2021CASPR: A Commonsense Reasoning-based Conversational Socialbotcited by 6
  11. 2024Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbotcited by 3

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025Reliable Collaborative Conversational Agent System Based on LLMs and Answer Set Programming
  2. 2024A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASP
  3. 2026LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning
  4. 2023A Survey on Large Language Model based Autonomous Agents
  5. 2024How to Align Large Language Models for Teaching English? Designing and Developing LLM based-Chatbot for Teaching English Conversation in EFL, Findings and Limitations
  6. 2025LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey
  7. 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialogue
  8. 2023Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs