large language model

Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them EMNLP 2025 Exploring the Impact of Instruction-Tuning on LLM’s Susceptibility to Misinformation ACL 2025 Exploring the Impact of Language Switching on Personality Traits in LLMs COLING 2025 Exploring the Impact of Personality Traits on LLM Bias and Toxicity EMNLP 2025 Exploring the Limits of Conformer CTC-Encoder for Speech Emotion Recognition using Large Language Models Interspeech 2025 Exploring the Potential of Large Language Models for Heterophilic Graphs NAACL 2025 Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis ACL 2025 Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks COLING 2025 Exploring the Role of Mental Health Conversational Agents in Training Medical Students and Professionals: A Systematic Literature Review ACL 2025 Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant IJCAI 2025 Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation EMNLP 2025 Exploring Working Memory Capacity in LLMs: From Stressors to Human-Inspired Strategies IJCNLP 2025 Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models ACL 2025 Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning ACL 2025 Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models EMNLP 2025 Extracting Conceptual Spaces from LLMs Using Prototype Embeddings EMNLP 2025 Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference AAAI 2025 Extracting Linguistic Information from Large Language Models: Syntactic Relations and Derivational Knowledge EMNLP 2025 Extracting Software Mentions and Relations using Transformers and LLM-Generated Synthetic Data at SOMD 2025 ACL 2025 Extrapolating to Unknown Opinions Using LLMs COLING 2025 Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models ICML 2025 F²Bench: An Open-ended Fairness Evaluation Benchmark for LLMs with Factuality Considerations EMNLP 2025 F2 (FutureFiction): Detection of Fake News on Futuristic Technology NAACL 2025 Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation EMNLP 2025 FACT5: A Novel Benchmark and Pipeline for Nuanced Fact-Checking of Complex Statements ACL 2025