Large Language Models

Evaluating the Factuality of Large Language Models Using Multiple Plug-and-Play Fact Sources AAAI 2026 Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason’s Selection Task EACL 2026 Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention ACL 2026 ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models EACL 2026 ExPairT-LLM: Exact Learning for LLM Code Selection by Pairwise Queries AAAI 2026 Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis AAAI 2026 Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models EACL 2026 Exploring Iterative Controllable Summarization with Large Language Models EACL 2026 ExpressivityBench: Can LLMs Communicate Implicitly? EACL 2026 Extending Audio Context for Long-Form Understanding in Large Audio-Language Models EACL 2026 Facilitating Early Maladaptive Schema–Guided Polite and Empathetic Psychotherapeutic Support: An LLM-Driven MoE-RL-Based Dialogue System AAAI 2026 FaithLM: Towards Faithful Explanations for Large Language Models EACL 2026 Far Out: Evaluating Language Models on Slang in Australian and Indian English EACL 2026 FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026 Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective ACL 2026 Fine-tuning Zero-shot Large Language Models for Patient-reported Outcomes (Student Abstract) AAAI 2026 FinMathBench: A Formula-Driven Benchmark for Evaluating LLMs’ Math Reasoning Capabilities in Finance AAAI 2026 FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification AAAI 2026 Flora: Effortless Context Construction to Arbitrary Length and Scale AAAI 2026 FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation EACL 2026 Foundations of LLM Knowledge Materialization: Termination, Reproducibility, Robustness EACL 2026 From Code-Centric to Concept-Centric: Teaching NLP with LLM-Assisted "Vibe Coding” EACL 2026 From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan ACL 2026 From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis AAAI 2026 From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026