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Computational Linguistics
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Specialized & Advanced NLP Topics
Multilinguality & Low-Resource NLP
(4)
Transfer learning across languages
Zero-shot & few-shot cross-lingual transfer
Data augmentation for low-resource
Pivot-based approaches
Multimodal NLP
(4)
Vision-Language models
Image captioning
Visual QA
Audio-visual speech recognition
Evaluation & Benchmarking
(4)
Intrinsic vs. extrinsic evaluation
Standard benchmarks (GLUE, SuperGLUE, BIG-Bench)
Human evaluation design
Error analysis
Ethics, Bias & Fairness in NLP
(7)
Data bias
Model bias (gender, racial, cultural)
Fairness metrics
Debiasing techniques
Privacy (differential privacy, federated learning)
Environmental cost of large models
Responsible AI & NLP
Large Language Models (Advanced)
(12)
Scaling laws
Emergent abilities
Instruction tuning
Reinforcement Learning from Human Feedback (RLHF)
Prompt engineering
Chain-of-thought prompting
In-context learning
Retrieval-Augmented Generation (RAG)
Hallucination & factuality
Model interpretability & explainability
Parameter-efficient fine-tuning (LoRA, adapters, prefix tuning)
Quantization & model compression
Computational Psycholinguistics
(5)
Surprisal theory
Reading time models
Garden-path sentences (computational)
Eye-tracking & neural correlates
LLMs as cognitive models
Computational Sociolinguistics
(5)
Dialect identification
Stance detection
Hate speech & toxicity detection
Computational analysis of language change
Social media language processing