Latest Research in Computation and Language

15 research papers · 2026 median publication year

Top Research Topics in Computation and Language

Highest-Cited Papers

  1. Long-Term Affective Persistence and Sentiment Transfer in Large Language Models
  2. Large Language Model-Assisted Distillation–Fusion Framework for Visual Emotion Recognition
  3. Expert-Guided Multimodal Fusion for Unified Emotion and Sentiment Analysis
  4. Multi-Perspective Triad Interaction Graph Neural Network for Cognitive Distortion Detection
  5. Long-Term Affective Persistence and Sentiment Transfer in Large Language Models
  6. VIBE: A VAD-Informed Benchmark for Entity-Centered Affective Profiling of Large Language Model Outputs
  7. ArtECulture: Benchmarking Culture-Conditioned Visual Emotion Understanding in Multimodal Large Language Models
  8. CALM-AH: An ABAW11-Calibrated Multimodal Ensemble with Reliability-Gated Multi-Expert Consensus for Video-Level Ambivalence and Hesitancy Recognition
  9. DeceptionX: From Multimodal Evidence to Explainable Deception Detection
  10. Fine-grained emotion recognition using RoBERTa with low-rank adaptation and retrieval-augmented context contrastive definition pretraining masked language modeling and multi-dataset transfer learning
  11. Enhancing Text-Based Emotion Detection in Turkish and English: A Sentence-Level Enrichment Approach Using BERT and DistilBERT
  12. MVEI & EmObserver: Empowering MLLM-Oriented Visual Emotional Intelligence via Emotion Statement Judgement
  13. Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses
  14. Style over Substance: A Shortcut Audit of Emotion-Description Preference Evaluation
  15. TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos
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2026 AUG Q2

Computation and Language

15 papers

Top Topics (5)

Computation and Language5
Computer Vision and Pattern Recognition5
Mental Health via Writing2
Sentiment Analysis and Opinion Mining2
Emotion and Mood Recognition1

Top Publications (15)

1.Long-Term Affective Persistence and Sentiment Transfer in Large Language Models2.Large Language Model-Assisted Distillation–Fusion Framework for Visual Emotion Recognition3.Expert-Guided Multimodal Fusion for Unified Emotion and Sentiment Analysis4.Multi-Perspective Triad Interaction Graph Neural Network for Cognitive Distortion Detection5.Long-Term Affective Persistence and Sentiment Transfer in Large Language Models6.VIBE: A VAD-Informed Benchmark for Entity-Centered Affective Profiling of Large Language Model Outputs7.ArtECulture: Benchmarking Culture-Conditioned Visual Emotion Understanding in Multimodal Large Language Models8.CALM-AH: An ABAW11-Calibrated Multimodal Ensemble with Reliability-Gated Multi-Expert Consensus for Video-Level Ambivalence and Hesitancy Recognition9.DeceptionX: From Multimodal Evidence to Explainable Deception Detection10.Fine-grained emotion recognition using RoBERTa with low-rank adaptation and retrieval-augmented context contrastive definition pretraining masked language modeling and multi-dataset transfer learning11.Enhancing Text-Based Emotion Detection in Turkish and English: A Sentence-Level Enrichment Approach Using BERT and DistilBERT12.MVEI & EmObserver: Empowering MLLM-Oriented Visual Emotional Intelligence via Emotion Statement Judgement13.Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses14.Style over Substance: A Shortcut Audit of Emotion-Description Preference Evaluation15.TellTale: Blending Multi-Instance LoRA Text Encoders and a Zero-Shot LLM Judge for Ambivalence/Hesitancy Recognition in Videos
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