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Improving Generalization of Pretrained Language Models

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Improving Generalization of Pretrained Language Models

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Chat with Graph Search

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

Driving and suppressing the human language network using large language models

Efficient local linearity regularization to overcome catastrophic overfitting

Augmenting large language models with chemistry tools

Revisiting Character-level Adversarial Attacks for Language Models

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

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

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Transformer Models for Vision

Deep Learning Generalization with Limited and Noisy Labels

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

Driving and suppressing the human language network using large language models

Deep Learning Generalization with Limited and Noisy Labels

Transformer Models for Vision

Efficient local linearity regularization to overcome catastrophic overfitting

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

Revisiting Character-level Adversarial Attacks for Language Models

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

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

Augmenting large language models with chemistry tools