Latest Research in Computation and Language
31 research papers · 2026 median publication year
Top Research Topics in Computation and Language
- Emotion and Mood Recognition — 8 papers
- Computation and Language — 7 papers
- Artificial Intelligence — 5 papers
- Computer Vision and Pattern Recognition — 5 papers
- Human-Computer Interaction — 2 papers
- Explainable Artificial Intelligence (XAI) — 1 papers
- Machine Learning — 1 papers
- Multimedia — 1 papers
- Topic Modeling — 1 papers
Highest-Cited Papers
- Reading User Distress From the Inside: Do a Language Model's Hidden States Track a Person's Distress Better Than the Model's Own Reply Does?
- Dynamic adaptive fusion and adversarial alignment model for robust multimodal affective perception in industrial IoT social robots
- ER-EDF: A Psychology-Grounded Emotion Regulation Framework for Speech Empathetic Dialogue Generation in Large Audio-Language Models
- Talking to Me or Someone Else? Rethinking Talk-to-Me Detection in Egocentric Videos
- All Learning Has an Emotional Basis, So Does Task-Oriented Dialogue
- Bangla Sentence Function Classification: Corpus Development, Model Benchmarking, and Interpretability
- Exposing Weaknesses in Emotion Recognition in Conversations
- EmoMind: Decoding Affective Captions from Human Brain fMRI
- OneEmo: A Unified Multimodal Reasoning Model for Emotion Perception, Understanding, and Interaction
- You Can't Prefer Emotions You Don't Sample: Intensity Undershoot in DPO-Tuned LLMs
- MVFA: A Multi-View Text-Guided Multimodal Fusion LLM Adapter for Sentiment Analysis and Emotion Recognition
- Chiaroscuro for Emotions: A Contrastive Emotion Benchmark Grounded in Appraisal Theory
- TRILOGUE: A Trilingual Spoken Dialogue Fact-Checking Benchmark with Evidence and Paired Audio
- ArtSociety: Multi-Agent Multimodal Collaboration for Art Emotion Understanding
- Plural Emotion Readings in Short Social Video Clips: A Descriptive Study
- Plural Emotion Readings in Short Social Video Clips: A Descriptive Study
- EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision
- DiMoE: Disentangled Representation Learning with Mixture of Experts Fusion for Sentiment Intensity Prediction and Emotion Classification
- Audio-Text Cross-Attention with Psycholinguistic Support Features for Ambivalence/Hesitancy Recognition
- Cross-lingual Functional Vectors for Emotion Detection in Large Language Models