Emotion Representation in Language Models

Overview

Researchers study affective representations with probes, geometric analyses, attention inspection, and causal interventions such as activation patching and steering, while also training models to generate or recognize emotion in text and speech. These representations can be structured and can influence outputs, but information that is decodable inside a model is not necessarily used reliably, and does not establish that the model has subjective feelings. Benchmarks increasingly test contextual and keyword-free cues, multidimensional affect, and multilingual and cultural variation, revealing gaps between model outputs, internal signals, and human judgments. Open questions include how robust these representations are, when emotion control improves behavior without harming reliability or safety, and what evidence would distinguish functional emotion processing from human-like emotion.

Latest papers

CardsList

64 papers9 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

  1. Do bots feel bad? Assessing empirical evidence for functional valence in LLMs

    Oct 27, 2026Iwan WilliamsEmotion Representation in Language ModelsLLM Evaluation

  2. ToMStories: Interpreting Theory-of-Mind in Synthetic Narratives

    Oct 15, 2026Melanie Subbiah, Chia-En Jacklyn Tsai, Kathleen McKeownTheory of MindImplicit Reasoning in Language Models

  3. Emotion Is Not External Knowledge: Internal Attention Signals for Affective State Reasoning

    Oct 15, 2026Wenqiu Tang, Zhen Wan, Yihui Wang +2Emotion Representation in Language ModelsEmotion Recognition

  4. Empathy Is Not the Scapegoat for Declines in Factuality and Reliability

    Oct 13, 2026Letian Shi, Kanwal Mehreen, Deheng Zhang +1LLM ReliabilityLanguage Model Steering

  5. Tracing a Sparse Emotion-Control Circuit in LLM-Based Text-to-Speech

    Oct 4, 2026Hongfei Du, Jiacheng Shi, Yanfu Zhang +1Mechanistic InterpretabilityControllable Speech Generation

  6. Usage-Modulated Sentiment Representations in Large Language Models

    Oct 4, 2026Hongfei Du, Jiacheng Shi, Yanfu Zhang +2Causal Interventions in Language ModelsRepresentation Geometry in Language Models

  7. Language Models Act on Hidden Valence

    Sep 28, 2026Cameron Berg, Caspar KaiserEmotion Representation in Language Models

  8. Two Emojis of Difference: What Multilingual Affective Generation Benchmarks Actually Measure

    Sep 24, 2026Fardeen Sadab, Adib SakhawatMultilingual Language Model EvaluationLanguage Model Generation Evaluation

  9. From Generative to Discriminative: Lightweight Adaptation of SpeechLLMs for Multimodal Emotion Recognition

    Sep 17, 2026Hasindri Watawana, Sergio Burdisso, Esaú Villatoro-Tello +4Speech Emotion RecognitionSpeech Language Models

  10. The Pain Axis: LLMs Represent Self-Directed Harm and Act on It

    Sep 14, 2026Valen Tagliabue, Leonard Dung, Cameron BergEmotion Representation in Language ModelsLLM Safety

  11. Empathy Is Steerable but Multi-Axial: Mechanism Geometry and Persona Effects in LLMs

    Sep 14, 2026JuHeon Ha, Byounghan Lee, Yunseo Choi +1Language Model SteeringLLM Interpretability

  12. You Can't Prefer Emotions You Don't Sample: Intensity Undershoot in DPO-Tuned LLMs

    Sep 7, 2026Hyunwoo Kim, Usama KhalidDirect Preference OptimizationValence-Arousal Modeling

  13. Deep Persona: A Psychologically Grounded Architecture and Evaluation Framework for Role-Playing Agents and Simulations

    Sep 6, 2026Rotem Dror, Zohar Elyoseph, Yuval Haber +3Large Language Model-Based Role-Play SimulationPersonality Modeling in Language Models

  14. Interpretable Symptom Vectors for Depression in a Large Language Model

    Sep 1, 2026Fangyi Zhu, Ajay Subramanian, Allison Constant +3Depression DetectionRepresentation Geometry in Language Models

  15. Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models

    Sep 1, 2026Tian Fang, Gaël Guibon, Davide BuscaldiCausal Interventions in Language ModelsEmotion Representation in Language Models

  16. Controllable Affective Generation via Latent Vector Steering

    Aug 26, 2026Xixian Yong, Siyuan Chang, Yingying Zhang +2Controllable Text GenerationActivation Steering

  17. Multilingual Emotion Neurons in Large Audio-Language Models

    Aug 9, 2026Xiutian Zhao, Philipp Koehn, Björn Schuller +1Cross-Lingual Representation AlignmentNeuron-Level Interpretability

  18. Deal Me Maybe: The Role of Emotions in Multi-Agent Negotiation

    Aug 7, 2026Massimiliano Luca, Apoorva Singh, Bruno LepriMulti-Agent NegotiationAutomated Negotiation

  19. Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models

    Aug 3, 2026Linkai Peng, Baorian NuchgedAudio-Language Model EvaluationSpeech Emotion Recognition

  20. Adaptive Emotional Video Captioning via Affective Heterogeneous Graph Reasoning and Multi-task Joint Learning

    Jul 31, 2026Junbo Wang, Liangyu Fu, Yuke Li +2Video CaptioningEmotion Representation in Language Models

  21. How Affect Propagates among LLM Agents: Emergent Emotional Contagion in Crowd Simulation

    Jul 27, 2026Funda DurupinarHuman Behavior SimulationAgent-Based Modeling

  22. EmoTrace: An Emotion Trajectory-Centered Framework for Psychological Support Dialogue Generation

    Jul 26, 2026Kaitong Weng, Lixin Liu, Zihao Liu +2Mental Health CounselingEmotional Support Conversation

  23. REGARD: Regional Affective Differences in Large Language Models

    Jul 22, 2026Andrei Chetvergov, Alexander Evseev, Mikhail Solovev +5Political Bias in Language ModelsValence-Arousal Modeling