3 citations · 15 across the 41 of their papers we have counts for
8 papers · 1 filter
CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction
Mohammad Anas Jawad, Cornelia Caragea
Existing calibration methods for Large Language Models (LLMs) often overlook a critical dimension of trustworthiness: a model's behavioral robustness to irrelevant or misleading in…
LLM-Guided Co-Training for Text Classification
Md Mezbaur Rahman, Cornelia Caragea
In this paper, we introduce a novel weighted co-training approach that is guided by Large Language Models (LLMs). Namely, in our co-training approach, we use LLM labels on unlabele…
On the Design Space Between Transformers and Recursive Neural Nets
Jishnu Ray Chowdhury, Cornelia Caragea
In this paper, we study two classes of models, Recursive Neural Networks (RvNNs) and Transformers, and show that a tight connection between them emerges from the recent development…
Investigating Recurrent Transformers with Dynamic Halt
Jishnu Ray Chowdhury, Cornelia Caragea
In this paper, we comprehensively study the inductive biases of two major approaches to augmenting Transformers with a recurrent mechanism: (1) the approach of incorporating a dept…
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability
Jishnu Ray Chowdhury, Cornelia Caragea
Binary Balanced Tree RvNNs (BBT-RvNNs) enforce sequence composition according to a preset balanced binary tree structure. Thus, their non-linear recursion depth is just …
Efficient Beam Tree Recursion
Jishnu Ray Chowdhury, Cornelia Caragea
Beam Tree Recursive Neural Network (BT-RvNN) was recently proposed as a simple extension of Gumbel Tree RvNN and it was shown to achieve state-of-the-art length generalization perf…