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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization AAAI 2026 HitKV: Activation Frequency Knows Which Tokens Are Important AAAI 2026 hllwan at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis via LLM Feature Fusion and Test-Time Adaptation SemEval 2026 Howard University-AI4PC at SemEval-2026 Task 1: Exploring Prompt Strategies for Automatic Humor Generation SemEval 2026 Howard University-AI4PC at SemEval-2026 Task 7: Culturally Aware Multilingual Model Routing Through a Mixture-of-Specialists Framework SemEval 2026 How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective ACL 2026 How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities ACL 2026 How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective AAAI 2026 How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding AAAI 2026 How Do Language Models Acquire Character-Level Information? EACL 2026 How Do Lexical Senses Correspond Between Spoken German and German Sign Language? EACL 2026 How Far Can Pretrained LLMs Go in Symbolic Music? Controlled Comparisons of Supervised and Preference-based Adaptation EACL 2026 How Good Are LLMs at Processing Tool Outputs? EACL 2026 How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP ACL 2026 How Much Pretraining Does Structured Data Need? EACL 2026 How Reliable are Confidence Estimators for Large Reasoning Models? A Systematic Benchmark on High-Stakes Domains EACL 2026 HoWToBench: Holistic Evaluation for LLM’s Capability in Human-level Writing using Tree of Writing ACL 2026 How to Improve LLMs’ Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity ACL 2026 How Tokenization Limits Phonological Knowledge Representation in Language Models and How to Improve Them ACL 2026 How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models ACL 2026 HPSU: A Benchmark for Human-Level Perception in Real-World Spoken Speech Understanding AAAI 2026 HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models Through Curriculum Tuning AAAI 2026 HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses Through Reasoning MLLMs AAAI 2026 HumMusQA: A Human-written Music Understanding QA Benchmark Dataset EACL 2026 Humor Generation – Text-based Humor Generation (English) SemEval 2026