Response Generation
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Benchmarks
Most implemented
Language Models are Unsupervised Multitask Learners
A Diversity-Promoting Objective Function for Neural Conversation Models
Unified Language Model Pre-training for Natural Language Understanding and Generation
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Papers
Controlling and Assessing Appropriate Persona Use in LLM-based Dialogue Generation
In persona-based dialogue generation (PDG), LLMs often overuse persona attributes by incorporating them regardless of dialogue context, resulting in unnatural responses. Despite its practical significance, the underlying…
Response GenerationDialogue GenerationMulti-Modal Semantic Expansion with Constrained LLM Reranking for Conversational Music Recommendation
We present Team Semiintelligencn's solution for the ACM RecSys 2026 TalkPlayData Challenge, addressing conversational music recommendation through a multi-modal and personalized conversational recommender system. Our sub…
Response GenerationA knowledge-guided agentic framework for mitigating patient-context ambiguity in health queries
Patients often submit short, underspecified queries to healthcare chatbots that lack the patient-specific information needed to determine an appropriate response. Although these queries may be linguistically clear, they …
Response GenerationDentAgent: Evidence-Centric Multi-Agent Coordination for Multimodal Dental Reasoning
Oral diseases affect billions of people worldwide, underscoring a pressing need for accurate and reliable dental assessment that integrates heterogeneous evidence from domain knowledge, radiographs, intraoral photographs…
Response GenerationQuestion AnsweringClosing the Affective Loop: Multimodal Speaker-Listener Emotion-Dynamics-Aware Empathetic Social Robots
Empathetic social robots should respond not only to what users say, but also to how their emotions dynamically evolve during interaction. However, existing empathetic dialogue systems are often text-centered and primaril…
Response GenerationQUMem: Personalized Memory for Query-Conditioned User-State Inference in LLM Agents
Large language model (LLM) agents increasingly use external memory systems to support personalization by drawing on long and evolving interaction histories, in which user preferences may be distributed across time, chang…
Response Generation