Recipes for Building an Open-Domain Chatbot

Attention Is All You Need

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv · doi:10.48550/arxiv.1706.03762 · Cited by 120,404

Adam: A Method for Stochastic Optimization

Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 54,325

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., & Stoyanov, V. (2019) · arXiv · doi:10.48550/arxiv.1907.11692 · Cited by 16,515

Scaling Laws for Neural Language Models

Kaplan, J., McCandlish, S., Henighan, T., Brown, T. B., Chess, B., Child, R., Gray, S., Radford, A., Wu, J., & Amodei, D. (2020) · arXiv · doi:10.48550/arxiv.2001.08361 · Cited by 9,550 · cited 1×

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., & Zettlemoyer, L. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.703 · Cited by 8,821

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Lewis, M., Liu, Y., Goyal, N., Ghazvininejad, M., Mohamed, A., Levy, O., Stoyanov, V., & Zettlemoyer, L. (2019) · arXiv · doi:10.48550/arxiv.1910.13461 · Cited by 8,816

Longformer: The Long-Document Transformer

Beltagy, I., Peters, M. E., & Cohan, A. (2020) · arXiv · doi:10.48550/arxiv.2004.05150 · Cited by 2,281

Transformer-XL: Attentive Language Models Beyond a Fixed-Length ContextPreprint

Dai, Z., Yang, Z., Yang, Y., Carbonell, J., Le, Q. V., & Salakhutdinov, R. (2019) · arXiv (Cornell University) · doi:10.4230/lipics.ecrts.2023.7 · Cited by 1,476

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation

Yang, C., Zheng, L., Wang, L., Tian, C., Pang, L., Li, J., Ho, Q., Cao, Y., & Wang, W. (2023) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2023.emnlp-main.497 · Cited by 1

Development of Character-like Chatbot with Role Play-Based Question Answering and a Large Language Model

Mitsuda, K., Higashinaka, R., Li, T., Sugiyama, H., Mizukami, M., Nakamura, R., Adachi, N., Kawabata, H., Yoshida, S., & Kinebuchi, T. (2023) · Journal of Natural Language Processing · doi:10.5715/jnlp.30.1172

PPPG-DialoGPT: A Prompt-based and Personality-aware Framework For Conversational Recommendation Systems

Elourajini, F., & Aïrncur, E. (2023) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat59888.2023.00044

Continual Learning in Chit-Chat Systems

Mazumder, S., & Liu, B. (2024) · Synthesis lectures on human language technologies · doi:10.1007/978-3-031-48189-5_5

Simple Framework for Interpretable Fine-Grained Text Classification

Battogtokh, M., Flucke, G., Davidescu, C., & Borgo, R. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-50396-2_23

DialCL-Bias: A Semantic and Contextual Framework to Identify Social Bias in Dialogue

Cai, Z., Wu, D., & Li, P. (2023) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc53992.2023.10394325

Website business design idea for used mobile phone shop

Febrillian, V., Pangestu, G., Yulianto, Y., & Rahayu, A. (2024) · AIP conference proceedings · doi:10.1063/5.0203596

MT-DST: Multi-Task Strategy for Few-shot Dialog State Tracking

Tang, J. (2023) · International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) · doi:10.1109/mlbdbi60823.2023.10482155

A Large Financial Chat ModelPreprint

Ding, F. (2024) · doi:10.33774/coe-2024-lsc94

ChatParse: A New Application for Persian Bourse Chatbot

Shahedi, A., & Seyedin, S. (2023) · Sharq. · doi:10.61186/itrc.15.2.49 · Cited by 1

Creative Artificial Intelligence and Emotions

Paaß, G., & Hecker, D. (2023) · Springer eBooks · doi:10.1007/978-3-031-50605-5_9

SCBG: Semantic-Constrained Bidirectional Generation for Emotional Support Conversation

Xu, Y., Zhao, Z., & Sun, X. N. (2024) · ACM Transactions on Asian and Low-Resource Language Information Processing · doi:10.1145/3666090

Multi-Knowledge Aware and Global Strategy Sequence Optimizing Network for Emotional Support ConversationPreprint

Xie, Q. J., & Peng, W. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4874722

Freehal: A Framework for Editing Large Language Model HallucinationsPreprint

Lim, J., Shin, J., Lee, Y., & Song, H.-J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4893610

Human-AI Collaboration Supporting GPT-4o Achieving Human-Level User Feedback in Emotional Support Conversations: Integrative Modeling and Prompt Engineering Approaches (Preprint)Preprint

Huang, Y., Li, L., Dong, W., Dong, Y., Huang, Y., & Liu, H. (2024) · doi:10.2196/preprints.65435 · Cited by 1

A Unified Data Augmentation Framework for Low-Resource Multi-domain Dialogue Generation

Liu, Y., Nie, E., Feng, S., Hua, Z., Ding, Z., Wang, D., Zhang, Y., & Schütze, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-70344-7_10 · Cited by 1

Study on relationship between adversarial texts and language errors: a human-computer interaction perspective

Xiao, R., Zhang, K., Zhang, Y., Wang, Q., Hou, S., & Liu, L. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2396437

Construction of Japanese Language Model of Utterances of Fictional Characters Using Pseudo Data Created by T5

Ma, W., Kishino, M., Komiya, K., & Shinnou, H. (2024) · Journal of Natural Language Processing · doi:10.5715/jnlp.31.1076

Preface

Alonso, O., & Baeza-Yates, R. (2024) · ACM eBooks · doi:10.1145/3674127.3674128

Searching Personal Collections

Bendersky, M., Metzler, D., Najork, M., & Wang, X. (2024) · ACM eBooks · doi:10.1145/3674127.3674142

Query-driven Search Functionality

Li, L. (2024) · ACM eBooks · doi:10.1145/3674127.3674133

Authors’ Biography/Index

Alonso, O., & Baeza-Yates, R. (2024) · ACM eBooks · doi:10.1145/3674127.3702962

Introduction

Alonso, O., & Baeza-Yates, R. (2024) · ACM eBooks · doi:10.1145/3674127.3674129

Bibliography

Alonso, O., & Baeza-Yates, R. (2024) · ACM eBooks · doi:10.1145/3674127.3702961

IR in Biomedicine

Hersh, W., & Roberts, K. E. (2024) · ACM eBooks · doi:10.1145/3674127.3702960

Knowledge Graphs and Search

Bast, H., Kalmbach, J., Klumpp, T., & Korzen, C. (2024) · ACM eBooks · doi:10.1145/3674127.3674134

MetaESC: Enhancing Emotional Support Conversation through Metacognition

Li, H., Wu, W., Ji, Y., Zheng, H. Y., Shi, L., Chen, X., & He, L. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5569-1_21

E&S-Gainer: An Emotion Aware and Strategy Enhanced Model for Emotional Support Conversation

Yang, C., Wang, D., Feng, S., Zhang, Y., & Yu, G. (2024) · Lecture notes in computer science · doi:10.1007/978-981-97-5569-1_5

Construction and Analysis of Utterance Corpus Incorporating Arbitrary User Information for Personalized Chat-Oriented Dialogue Systems

Tsunomori, Y., & Higashinaka, R. (2024) · Journal of Natural Language Processing · doi:10.5715/jnlp.31.1635

Towards few-shot mixed-type dialogue generation

Liu, Z., Wang, H., Lei, Z., Niu, Z.-Y., Wu, H. J., & Che, W. (2025) · Science China Information Sciences · doi:10.1007/s11432-023-4069-x

Document Summary-based Chatbot System Utilizing Retrieval-Augmented Generation and Small Large Language Models

Woo, M., Si, J., & Kim, S. (2025) · The Journal of Korean Institute of Information Technology · doi:10.14801/jkiit.2025.23.1.13

Individual Fairness in Generative Text Models

Whelan, B., & Patanè, A. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-82481-4_6

MindMemory:Augmented LLM With Long-Term Memory And Mental Personality

Zhang, Q., Guo, B., Yao, J., Liu, Y., & Yu, Z. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-2373-0_33

Factors influencing subjective opinion attribution to conversational robots

Sakamoto, Y., Uchida, T., Ban, M., & Ishiguro, H. (2025) · Frontiers in Robotics and AI · doi:10.3389/frobt.2025.1521169

Investigation of the conditions for continuous information conveyance by two autonomous conversational agents

Isowa, T., Ogawa, K., Sato, S., Kubota, T., & Ishiguro, H. (2025) · Frontiers in Robotics and AI · doi:10.3389/frobt.2025.1417488

Personality dialogue agent based on personality description and conversation history

Chu, Y., Sun, M., Huang, K., Geng, H., Zhang, Y., Zhang, L., & Zhang, M. (2025) · ACM Transactions on Information Systems · doi:10.1145/3731679

Mind2: Mind-to-Mind Emotional Support System with Bidirectional Cognitive Discourse Analysis

Hong, S. Y., Oyshi, U., Mai, Q., Nkhata, G., & Gauch, S. (2024) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat62293.2024.00023

Enhancing logical reasoning in language models: An investigation of the Capybara dataset

Guerrero, L. E. M., Ceballos, Y. F., & Rojas, L. D. T. (2025) · Contemporary Educational Technology · doi:10.30935/cedtech/16425

Implementation of a Virtual Dental Assistant based on GPT: Part 2

Landwerlin, O., & Subsol, G. (2025) · BDJ In Practice · doi:10.1038/s41404-025-3143-1

INVESTIGATING THE FACTORS INFLUENCING ADOPTION INTENTIONS OF CHATGPT FOR SPORT EVENTS

Argan, M., & Dinç, H. (2025) · Ankara Üniversitesi Beden Eğitimi ve Spor Yüksekokulu SPORMETRE Beden Eğitimi ve Spor Bilimleri Dergisi · doi:10.33689/spormetre.1606845 · Cited by 1

Oncology Data Extraction with Large Language Models from Real-World Electronic Health Records in SpanishPreprint

Montes-Torres, J., Moreno-Barea, F. J., Franco, L., Ribelles, N., Alba, E., & Jerez, J. M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5315045

Investigating Multimodal Empathetic Conversational AI Utilizing Ensemble Learning and HumorPreprint

Mehta, D. B. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5356655

A Comparative Benchmark Analysis of Recreation Programs in Türkiye, the United States, and Canada Using a ChatGPT-Based Interview Approach

Dinç, H. (2025) · Sportive · doi:10.53025/sportive.1653910

Creating Frameworks and Datasets at the Intersection of AI Safety and Elections

Dmonte, A., Wang, Y., Nakov, P., Li, H., Han, X., Zampieri, M., Lybarger, K., Albanese, M., & Baldwin, T. (2025) · Springer eBooks · doi:10.1007/978-3-031-89853-2_9

Outlier-Aware Transformer Architecture for Large Model for Multi-round Dialogue Systems

Hu, H., Chen, X., Xu, M., Wang, Y., & Zhu, X. (2025) · Smart innovation, systems and technologies · doi:10.1007/978-981-96-7277-6_9

Talk to Me, Like Me: Modular Personalization of Emotional AI via Behavioral Metadata, Fine-Tuning, RAG, Prompts, and Agentic Reasoning

Gupta, R., Dabral, O., Shukla, P., Verma, V. K., Sharma, H., Kathed, S., Nidhan, H. R., & Kumar, B. (2025) · doi:10.1145/3746277.3760411

Performance and Self-evaluation of Free-Access Large Language Model Chatbots: A Multi-metric Comparative Study

Miskell, C., Slhoub, K., & Mensi, N. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-07992-3_17

PLATO-JDS: Enhancing Japanese Dialogue Systems Through Topic-Switch Adaptation

Zeng, D., Wu, J., Wang, Y., Matsumoto, K., Hattori, G., & Ikeda, K. (2025) · New Generation Computing · doi:10.1007/s00354-025-00307-3

CTIGuardian: A Few-Shot Framework for Mitigating Privacy Leakage in Fine-Tuned LLMs

Arachchige, S. D. B., Zhao, B. Z. H., Asghar, H. J., Vatsalan, D., & Kâafar, M. A. (2025) · Annual Computer Security Applications Conference Workshops (ACSAC Workshops) · doi:10.1109/acsacw69556.2025.00060

Prompt2Length: A Lightweight Model for Predicting Output Length in LLM Inference

Niu, H., Lü, L., Zhao, W., Gao, F., & Gao, X. (2025) · International Conference on Artificial Intelligence, Automation and High Performance Computing (AIAHPC) · doi:10.1109/aiahpc66801.2025.11290434

Utilizing Large Language Models with Causal Reasoning and Commonsense Knowledge for Empathic Dialogue Generation

Zhu, Y. (2025) · IEEE Annual Computing and Communication Workshop and Conference (CCWC) · doi:10.1109/ccwc62904.2025.10903745

Unleashing the Power of GPT-3: Revolutionary Applications in Natural Language Processing

Abunasser, B. S., & Abu-Naser, S. S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-95-0375-9_6

Agentes conversacionales inteligentes (chatbots) y estereotipos de género en la atención de las violencias machistas: taxonomía de posibles amenazas desde un enfoque de threat modelling

Urquijo, B. S., Belloso, M. L., Gutiérrez, L. R., & Cabrera, M. S. (2025) · Investigaciones Feministas · doi:10.5209/infe.100601

Enhancing Public Service Delivery Through Empathetic, Intelligent Arabic Chatbots

Bekki, K., Rouabhi, M., Bouamrane, K., & Ouared, A. (2025) · International Conference on Intelligent Computer Systems, Data Science and Applications (IC2SDA) · doi:10.1109/ic2sda68097.2025.11331460

CVshield: Interpretable Black-Box Adversarial Defense for LLMs via CoT Guided Semantic Verification

Han, W., Qi, W., Li, Y., & Huang, X. (2025) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom66490.2025.00079

Personalized Response Generation in Large Language Models via Lightweight Preference Optimization and Dynamic Context Integration

Jamali, Z., Keshtkaran, M., & Raji, M. (2026) · IEEE Access · doi:10.1109/access.2026.3661118

Modeling Long-Term Emotional Support Through Causal World Modeling With Imitation Learning

Li, M., Wang, F., Li, K., Wei, Y., Nie, Y., Hao, Y., Yang, X., & Wang, M. (2026) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2026.3653579

ESAinsTOD: a unified end-to-end schema-aware instruction-tuning framework for task-oriented dialog modeling

Teng, D., Lu, C.-L., Qin, L., & Che, W. (2026) · International Journal of Machine Learning and Cybernetics · doi:10.1007/s13042-025-02823-6

Adaptive Persona Context Modulation for Personalized Emotional Support Conversation

Wang, H., Yang, X., Wang, D., Feng, S., & Zhang, Y. (2026) · Lecture notes in computer science · doi:10.1007/978-981-95-7081-2_24

Decoupled Dual-Stage Generation to Balance Factuality and Empathy in Customer-Support Dialogue Systems

Kim, S., Choi, H., & Huang, J. (2026) · Applied Sciences · doi:10.3390/app16073123

Deep learning methods for visual content creation and understanding

Sbai, O. (2021) · theses.fr (ABES) · doi:10.70675/aa60bca2zdda6z45cazbd02z4275271c264c

Human-Machine Dialogue in the Medical Field. Using Dialog to Collect Important Patient Information

Liednikova, A. (2022) · theses.fr (ABES) · doi:10.70675/b572f8cbz5876z4683z828bzfb09085ddd78

ResurrectAI: Persona-Driven Conversational AI for Human-Like Interactions

Aggarwal, H., Baghel, M. K., Lamba, S. S., & Gupta, A. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-18211-1_20

Accessible Six-DOF Clay-Printing Platform Using a 3D-Printed Robotic Arm

Čabaravdić, M., & Sarajlić, A. (2026) · AI Computer Science and Robotics Technology · doi:10.5772/acrt.20250181

Privacy-Preserving Self-Learning Chatbot with Federated Intelligence

Kulshrestha, P., Aslam, A., & Ansari, M. S. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-0429-9_39

Engagingness in Open-Domain Dialogue Systems: A Systematic Survey of Datasets, Metrics and Methods

Mitra, E., Ferron, A., & Agrawal, A. (2026) · AI Computer Science and Robotics Technology · doi:10.5772/acrt20250081

Following the TRACE: A Structured Path to Empathetic Response Generation with Multi-Agent Models

Liu, Z., Zhou, Z., Li, Y., Zhang, H., & Chen, Y. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11461905

A Configurable Trait-Based API Framework for Enhancing Large Language Model Output

Kumar, A., Nandwani, S., Yadav, S. K., & Ostrowski, D. A. (2025) · Conference on AI x Software Engineering (AIxSE) · doi:10.1109/aixse64906.2025.00020

Bridging the silos in affective AI: a critical perspective from data to society

Inoshita, K. (2026) · AI & Society · doi:10.1007/s00146-026-03324-y · Cited by 1

Smart Educational Chatbot Using Natural Language Processing and Artificial Intelligence

Thanushree, M., C, S. C., Shalini, M., R, S. H., & Kumar, B. H. M. (2026) · International Conference on Knowledge Engineering and Communication Systems (ICKECS) · doi:10.1109/ickecs70176.2026.11527673

SWin: A Sliding Window Summarization Approach for Coherent LLM-driven Dialogue Systems

Savant, S., Zhao, Y., Yan, J., & Rengarajan, N. K. K. (2026) · IEEE Conference on Artificial Intelligence (CAI) · doi:10.1109/cai68641.2026.11536307

RAG-TLMs for Education: A Comparative Study of Tiny Language Models and Fine-Tuning Approach for Context Aware Student Query Resolution

Padhy, A., Padhi, R., Reddy, N. T. K., & Mishra, B. K. (2026) · International Conference on Intelligent Computing, Networks, and Security (IC-ICNS) · doi:10.1109/ic-icns68863.2026.11537938

DIALEVAL: Automated Type-Theoretic Evaluation of LLM Instruction Following

Basta, N., & Kaafar, D. (2026) · Lecture notes in computer science · doi:10.1007/978-981-92-1468-6_13

Empathy-Driven Arabic Conversational Chatbot Using a Pre-Trained Transformer Model

Alyami, S. M., Alsadhan, N. A., & Ismail, M. M. B. (2026) · Applied Sciences · doi:10.3390/app16136507

Fine-tuning Large Language Models for Answer-Questioning: A Novel Approach Using Interview-Derived Dialogue Pairs

Gagana, K. G., Peddibhotla, C. P., Deepak, P. J., Pasha, F., & Agarwal, P. R. (2026) · Smart innovation, systems and technologies · doi:10.1007/978-3-032-18849-6_15

Omnia: Efficient RAG Serving through Speculative Scheduling

Fu, R., Li, S., Xu, Y., Wu, T., Ma, Z., & Shi, J. (2026) · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · doi:10.1145/3806645.3807814

Design and Evaluation of a Dual-Layer Emotion—Personality Framework for Adaptive Conversational Robots

Shitara, K., Chaiprabha, K., Piankitrungreang, P., Takano, K., Chancharoen, R., & Phanomchoeng, G. (2026) · Journal of Advances in Information Technology · doi:10.12720/jait.17.6.1162-1176

EMP: Integrating Emotion Reasoning, Memory Structuring, and Persona Refinement for Long-Term Personalized Dialogue Generation

Ding, C., & Zhu, W. (2026) · Lecture notes in computer science · doi:10.1007/978-981-92-3520-9_15

RAGnRoll: Learning to Iteratively Retrieve and Generate Attributable Answer Snippets

Djeddal, H., Soulier, L., Pinel-Sauvagnat, K., Katrenko, S., Erbacher, P., & Tamine, L. (2026) · ACM Transactions on Information Systems · doi:10.1145/3831679

ChatFusion: A Digital Twin Chatbot

L, S. G., S, L. G. A., & Namratha, N. (2026) · IEEE Global Symposium on Emerging and Communication Technologies (GSEACT) · doi:10.1109/gseact68539.2026.11620482

EchoPersona – A Persona-Faithful Conversational AI System using RAG and LLMs

Saritha, S. L., Kondaveeti, S., Prathyusha, N., Paul, N. A., Loshitha, K. S., & Shameel, S. (2026) · IEEE Global Symposium on Emerging and Communication Technologies (GSEACT) · doi:10.1109/gseact68539.2026.11620147

Dataset Generation Framework Guided by the Online Gambling Disorder Questionnaire

Abdulgafer, A. R., Serrano‐Guerrero, J., Montoro-Montarroso, A., Guerrero-Sosa, J. D. T., Romero, F. P., & Olivas, J. Á. (2026) · Electronics · doi:10.3390/electronics15163644

System Architecture Design of a Situation-Aware AI Companion as a Social Catalyst and a Comparative Study for Optimal LLM Selection

Kang, J., & Choi, S. (2026) · Journal of Broadcast Engineering · doi:10.5909/jbe.2026.31.4.722

Context-Enhanced Long-Term Memory System for Personalized Conversational AI: SALSA Filtering and Hybrid Retrieval Mechanism

Kim, S., Park, S., Choi, H.-S., Yoo, N., & Yang, J. (2026) · International Conference on Intelligent Information Technology (ICIIT) · doi:10.1145/3805862.3805896

EmoChatBot: Integrating Fine-Grained Emotional Talking-Head Generation Into Face-to-Face Dialogue

Yan, H., Liu, F., & Ma, C. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-3991-7_12

Heterogeneous SLO Guaranteed Multi-Resource-Aware Batching in LLM Serving

Shen, H., Sen, T., & He, Y. (2026) · Proceedings of the International Conference on Parallel Processing · doi:10.1145/3832810.3832922

WAR-MATE: A Tactical Conversational Decision Framework for High-Pressure Systems

Tharun, P., Patil, K. P. S., & Anu, D. (2026) · International Conference on Inventive Systems and Control (ICISC) · doi:10.1109/icisc69558.2026.11681537

Empathetic Dialogue Systems: A Comparative Study of LSTM and Transformer Models

Havea, J., Habu, D., Kwansing, J., Sema, L., Raj, A., & Sharma, A. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-14775-2_11

Memory-Augmented Mixture-of-Facet-Experts with Cross-Attention for Personality-Aware Emotional Support Dialogue

Elgabry, M., & Hamdi, A. (2026) · Intelligent Methods, Systems, and Applications (IMSA) · doi:10.1109/imsa70415.2026.11700336

Effective Context Management for LLM Agents via Hybrid Chat History Optimization

Songa, S., Bayyavarapu, S. R. K. V., Gulkotwar, N., Pasupuleti, V., Allala, S. R., & Tyagi, S. (2026) · IEEE World Conference on Applied Intelligence and Computing (AIC) · doi:10.1109/aic70896.2026.11717333

Context-Aware Dialogue Systems Using Advanced Language Models

Mohammad, R. J., Shrivastava, S., & Shah, M. (2026) · International Conference on Natural Language Processing and Computer Vision (ICNPCV) · doi:10.1109/icnpcv69434.2026.11708823

CCD-MAF: A Cognitive Conceptualization Diagram-driven Multi-Agent Framework for structured CBT dialogue generation

Li, Z., Zheng, Z., Zhang, S., Yue, X., Zhang, Z., Zhu, J., & Hu, B. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.105230

Full State-Based CS-QTM: An Architecture for Question Intervention Control in LLM-Based Chatbots

김근형, & Kim, H. S. (2026) · Applied Sciences · doi:10.3390/app162010217

A Conceptual Framework for Characterising and Analysing Retrieval–Augmented Generation Techniques

Igbekele Emmanuel, O., & Daramola, O. J. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-42763-2_20

Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling

Dinan, E., Abercrombie, G., Bergman, A. S., Spruit, S., Hovy, D., Boureau, Y.-L., & Rieser, V. (2021) · arXiv · doi:10.48550/arxiv.2107.03451 · Cited by 44

MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models

Xu, P., Patwary, M., Shoeybi, M., Puri, R., Fung, P., Anandkumar, A., & Catanzaro, B. (2020) · arXiv · doi:10.48550/arxiv.2010.00840 · Cited by 12

AutoPal: Autonomous Adaptation to Users for Personal AI Companionship

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