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Interpreting Language Models Through Knowledge Graph Extraction

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Interpreting Language Models Through Knowledge Graph Extraction

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Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Augmenting large language models with chemistry tools

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Improving Generalization of Pretrained Language Models

Modeling Structured Data in Attention-based Models

Interpretable Representation Learning and Evaluation for Abstractive Summarization

Text Representation Learning for Low Cost Natural Language Understanding

Transformer Models for Vision

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Augmenting large language models with chemistry tools

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Modeling Structured Data in Attention-based Models

Transformer Models for Vision

Text Representation Learning for Low Cost Natural Language Understanding

Interpretable Representation Learning and Evaluation for Abstractive Summarization

Improving Generalization of Pretrained Language Models

Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models