34 citations · 34 across the 5 of their papers we have counts for
4 papers · 1 filter
Generating Place-Based Compromises Between Two Points of View
Sumanta Bhattacharyya, Francine Chen, Scott Carter +6
Large Language Models (LLMs) excel academically but struggle with social intelligence tasks, such as creating good compromises. In this paper, we present methods for generating emp…
Audited Reasoning Refinement: Fine-Tuning Language Models via LLM-Guided Step-Wise Evaluation and Correction
Sumanta Bhattacharyya, Sara Riazi, Pedram Rooshenas
Training a task-specific small reasoning model is challenging when direct human supervision or high-quality labels are scarce. However, LLMs with reasoning capabilities produce abu…
Steered Generation via Gradient Descent on Sparse Features
Sumanta Bhattacharyya, Pedram Rooshenas
Large language models (LLMs) encode a diverse range of linguistic features within their latent representations, which can be harnessed to steer their output toward specific target…
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models
Sumanta Bhattacharyya, Amirmohammad Rooshenas, Subhajit Naskar +3
The discrepancy between maximum likelihood estimation (MLE) and task measures such as BLEU score has been studied before for autoregressive neural machine translation (NMT) and res…