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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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Chat with Graph Search

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

Augmenting large language models with chemistry tools

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

Improving Generalization of Pretrained Language Models

Modeling Structured Data in Attention-based Models

Text Representation Learning for Low Cost Natural Language Understanding

Transformer Models for Vision

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

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

Interpretable Representation Learning and Evaluation for Abstractive Summarization

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