{"total":104,"rows":[{"id":"2405.06373","title":"LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play","created":"2024-05-10","cited_by_count":66,"area":null},{"id":"2502.16923","title":"A Systematic Survey of Automatic Prompt Optimization Techniques","created":"2025-02-24","cited_by_count":63,"area":null},{"id":"2401.00820","title":"A Computational Framework for Behavioral Assessment of LLM Therapists","created":"2024-01-01","cited_by_count":62,"area":null},{"id":"2407.16221","title":"Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models","created":"2024-07-23","cited_by_count":57,"area":null},{"id":"2604.07729","title":"Emotion Concepts and their Function in a Large Language Model","created":"2026-04-09","cited_by_count":57,"area":null},{"id":"2308.03656","title":"Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench","created":"2023-08-07","cited_by_count":54,"area":null},{"id":"2402.12071","title":"EmoBench: Evaluating the Emotional Intelligence of Large Language Models","created":"2024-02-19","cited_by_count":53,"area":null},{"id":"2501.10114","title":"Infrastructure for AI Agents","created":"2025-01-17","cited_by_count":41,"area":null},{"id":"2310.11374","title":"DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in Conversations","created":"2023-10-17","cited_by_count":30,"area":null},{"id":"2410.14826","title":"SPRIG: Improving Large Language Model Performance by System Prompt Optimization","created":"2024-10-18","cited_by_count":29,"area":null},{"id":"2407.21315","title":"Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal Nuances","created":"2024-07-31","cited_by_count":27,"area":null},{"id":"2408.04211","title":"MMREC: LLM Based Multi-Modal Recommender System","created":"2024-08-08","cited_by_count":22,"area":null},{"id":"2402.12011","title":"A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change","created":"2024-02-19","cited_by_count":21,"area":null},{"id":"2603.13285","title":"Brittlebench: Quantifying LLM robustness via prompt sensitivity","created":"2026-02-27","cited_by_count":21,"area":null},{"id":"2406.11096","title":"The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models","created":"2024-06-16","cited_by_count":19,"area":null},{"id":"2407.15366","title":"Walking in Others' Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias","created":"2024-07-22","cited_by_count":17,"area":null},{"id":"2406.18528","title":"PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation","created":"2024-06-26","cited_by_count":16,"area":null},{"id":"2504.11844","title":"Evaluating the Goal-Directedness of Large Language Models","created":"2025-04-16","cited_by_count":16,"area":null},{"id":"2604.03147","title":"Valence-Arousal Subspace in LLMs: Circular Emotion Geometry and Multi-Behavioral Control","created":"2026-04-03","cited_by_count":16,"area":null},{"id":"2410.18819","title":"From Imitation to Introspection: Probing Self-Consciousness in Language Models","created":"2024-10-24","cited_by_count":14,"area":null},{"id":"2402.12976","title":"The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis","created":"2024-02-20","cited_by_count":13,"area":null},{"id":"2502.17899","title":"Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation","created":"2025-02-25","cited_by_count":13,"area":null},{"id":"2507.07188","title":"Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey Responses","created":"2025-07-09","cited_by_count":13,"area":null},{"id":"2406.05806","title":"Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of Whisper","created":"2024-06-09","cited_by_count":12,"area":null},{"id":"2505.18699","title":"Affective Image Editing: Shaping Emotional Factors via Text Descriptions","created":"2025-05-24","cited_by_count":12,"area":null},{"id":"2510.04064","title":"Decoding Emotion in the Deep: A Systematic Study of How LLMs Represent, Retain, and Express Emotion","created":"2025-10-05","cited_by_count":12,"area":null},{"id":"2602.15669","title":"PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra","created":"2026-02-17","cited_by_count":12,"area":null},{"id":"2402.10073","title":"Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence","created":"2024-02-15","cited_by_count":11,"area":null},{"id":"2504.14706","title":"AI with Emotions: Exploring Emotional Expressions in Large Language Models","created":"2025-04-20","cited_by_count":11,"area":null},{"id":"2312.11111","title":"The Good, The Bad, and Why: Unveiling Emotions in Generative AI","created":"2023-12-18","cited_by_count":10,"area":null},{"id":"2509.13905","title":"Do Large Language Models Understand Word Senses?","created":"2025-09-17","cited_by_count":10,"area":null},{"id":"2403.03997","title":"Guiding Enumerative Program Synthesis with Large Language Models","created":"2024-03-06","cited_by_count":9,"area":null},{"id":"2406.12680","title":"Measuring Psychological Depth in Language Models","created":"2024-06-18","cited_by_count":9,"area":null},{"id":"2410.20707","title":"DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response","created":"2024-10-09","cited_by_count":9,"area":null},{"id":"2503.01163","title":"Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers","created":"2025-03-03","cited_by_count":9,"area":null},{"id":"2507.10599","title":"Emergence of Hierarchical Emotion Organization in Large Language Models","created":"2025-07-12","cited_by_count":9,"area":null},{"id":"2508.07959","title":"Large Language Models for Subjective Language Understanding: A Survey","created":"2025-08-11","cited_by_count":9,"area":null},{"id":"2403.08492","title":"Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking","created":"2024-03-13","cited_by_count":7,"area":null},{"id":"2409.08907","title":"Affective Computing Has Changed: The Foundation Model Disruption","created":"2024-09-13","cited_by_count":7,"area":null},{"id":"2411.10129","title":"Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation","created":"2024-11-15","cited_by_count":7,"area":null},{"id":"2504.13475","title":"LLM Sensitivity Evaluation Framework for Clinical Diagnosis","created":"2025-04-18","cited_by_count":7,"area":null},{"id":"2406.15540","title":"Specify What? Enhancing Neural Specification Synthesis by Symbolic Methods","created":"2024-06-21","cited_by_count":6,"area":null},{"id":"2407.04130","title":"Towards Automating Text Annotation: A Case Study on Semantic Proximity Annotation using GPT-4","created":"2024-07-04","cited_by_count":6,"area":null},{"id":"2507.21083","title":"ChatGPT Reads Your Tone and Responds Accordingly -- Until It Does Not -- Emotional Framing Induces Bias in LLM Outputs","created":"2025-06-17","cited_by_count":6,"area":null},{"id":"2410.19727","title":"FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning","created":"2024-10-25","cited_by_count":5,"area":null},{"id":"2310.16810","title":"Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals","created":"2023-10-25","cited_by_count":4,"area":null},{"id":"2312.16127","title":"LLM-SAP: Large Language Models Situational Awareness Based Planning","created":"2023-12-26","cited_by_count":4,"area":null},{"id":"2404.07084","title":"Dynamic Generation of Personalities with Large Language Models","created":"2024-04-10","cited_by_count":4,"area":null},{"id":"2501.03508","title":"A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models","created":"2025-01-07","cited_by_count":4,"area":null},{"id":"2602.21223","title":"Measuring Pragmatic Influence in Large Language Model Instructions","created":"2026-02-02","cited_by_count":4,"area":null},{"id":"2402.13518","title":"RITFIS: Robust input testing framework for LLMs-based intelligent software","created":"2024-02-21","cited_by_count":3,"area":null},{"id":"2403.17540","title":"Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction","created":"2024-03-26","cited_by_count":3,"area":null},{"id":"2406.02721","title":"Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2503.03607","title":"Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2503.09081","title":"Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment","created":"2025-03-12","cited_by_count":3,"area":null},{"id":"2503.21888","title":"RedditESS: A Mental Health Social Support Interaction Dataset -- Understanding Effective Social Support to Refine AI-Driven Support Tools","created":"2025-03-27","cited_by_count":3,"area":null},{"id":"2512.02841","title":"Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages","created":"2025-12-02","cited_by_count":3,"area":null},{"id":"2311.16267","title":"Novel Preprocessing Technique for Data Embedding in Engineering Code Generation Using Large Language Model","created":"2023-11-27","cited_by_count":2,"area":null},{"id":"2403.15699","title":"FEEL: A Framework for Evaluating Emotional Support Capability with Large Language Models","created":"2024-03-23","cited_by_count":2,"area":null},{"id":"2405.02040","title":"Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance","created":"2024-05-03","cited_by_count":2,"area":null},{"id":"2408.17070","title":"Novel-WD: Exploring acquisition of Novel World Knowledge in LLMs Using Prefix-Tuning","created":"2024-08-30","cited_by_count":2,"area":null},{"id":"2411.05778","title":"LLMs as Method Actors: A Model for Prompt Engineering and Architecture","created":"2024-11-08","cited_by_count":2,"area":null},{"id":"2505.12592","title":"PromptPrism: A Linguistically-Inspired Taxonomy for Prompts","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2506.11561","title":"Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2508.09378","title":"APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification","created":"2025-08-12","cited_by_count":2,"area":null},{"id":"2508.21452","title":"From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics","created":"2025-08-29","cited_by_count":2,"area":null},{"id":"2510.08915","title":"Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions","created":"2025-10-10","cited_by_count":2,"area":null},{"id":"2602.16930","title":"Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users","created":"2026-02-18","cited_by_count":2,"area":null},{"id":"2604.13846","title":"Beyond Static Personas: Situational Personality Steering for Large Language Models","created":"2026-04-15","cited_by_count":2,"area":null},{"id":"2604.19125","title":"Do Emotions Influence Moral Judgment in Large Language Models?","created":"2026-04-21","cited_by_count":2,"area":null},{"id":"2607.01103","title":"Evaluating Large Language Model Raters for German Open-Response Clinical Questions: A Physician-Annotated Benchmark Study of Agreement, Evaluator Bias, and Abstention","created":"2026-07-01","cited_by_count":2,"area":null},{"id":"2404.13033","title":"Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs","created":"2024-04-19","cited_by_count":1,"area":null},{"id":"2406.16275","title":"Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2408.10794","title":"Tapping in a Remote Vehicle's onboard LLM to Complement the Ego Vehicle's Field-of-View","created":"2024-08-20","cited_by_count":1,"area":null},{"id":"2502.06494","title":"GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing","created":"2025-02-10","cited_by_count":1,"area":null},{"id":"2505.04759","title":"Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential","created":"2025-05-07","cited_by_count":1,"area":null},{"id":"2510.11728","title":"Modeling Hypergraph Using Large Language Models","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2604.08293","title":"CIAO - Code In Architecture Out - Automated Software Architecture Documentation with Large Language Models","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2604.26328","title":"DSIPA: Detecting LLM-Generated Texts via Sentiment-Invariant Patterns Divergence Analysis","created":"2026-04-29","cited_by_count":1,"area":null},{"id":"2606.22974","title":"When Preferences Fail to Become Incentives: A Utility-Behavior Gap in Large Language Models","created":"2026-06-22","cited_by_count":1,"area":null},{"id":"2403.16127","title":"WangchanLion and WangchanX MRC Eval","created":"2024-03-24","cited_by_count":0,"area":null},{"id":"2404.10500","title":"When Emotional Stimuli meet Prompt Designing: An Auto-Prompt Graphical Paradigm","created":"2024-04-16","cited_by_count":0,"area":null},{"id":"2409.15706","title":"Improving Emotional Support Delivery in Text-Based Community Safety Reporting Using Large Language Models","created":"2024-09-24","cited_by_count":0,"area":null},{"id":"2503.04849","title":"Enhancing Collective Intelligence in Large Language Models Through Emotional Integration","created":"2025-03-05","cited_by_count":0,"area":null},{"id":"2504.08281","title":"ELSA: A Style Aligned Dataset for Emotionally Intelligent Language Generation","created":"2025-04-11","cited_by_count":0,"area":null},{"id":"2506.13692","title":"Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems","created":"2025-06-16","cited_by_count":0,"area":null},{"id":"2509.08910","title":"PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2510.18162","title":"Automatic Prompt Generation via Adaptive Selection of Prompting Techniques","created":"2025-10-20","cited_by_count":0,"area":null},{"id":"2601.05104","title":"How Human is AI? Examining the Impact of Emotional Prompts on Artificial and Human and Responsiveness","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2601.06875","title":"An Ubuntu-Guided Large Language Model Framework for Cognitive Behavioral Mental Health Dialogue","created":"2026-01-11","cited_by_count":0,"area":null},{"id":"2601.13300","title":"OI-Bench: An Option Injection Benchmark for Evaluating LLM Susceptibility to Directive Interference","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2602.06692","title":"Evaluating Prompt Engineering Strategies for Sentiment Control in AI-Generated Texts","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2602.11179","title":"From Instruction to Output: The Role of Prompting in Modern NLG","created":"2026-01-21","cited_by_count":0,"area":null},{"id":"2604.02236","title":"Do Emotions in Prompts Matter? Effects of Emotional Framing on Large Language Models","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.07369","title":"The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2605.16739","title":"EmoMind: Decoding Affective Captions from Human Brain fMRI","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.28037","title":"Personality, Role, and Expressive Style in Large Language Models: An Interactionist Analysis","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.00919","title":"Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models","created":"2026-05-30","cited_by_count":0,"area":null},{"id":"2606.00935","title":"Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2607.17564","title":"ZifaMem: Structured Memory for Persona, Preference, and Emotional Continuity in AI Companions","created":"2026-07-20","cited_by_count":0,"area":null}],"next_cursor":"100"}