23.6k citations
- Carnegie Mellon UniversityUS49 papers
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150 papers · 1 filter
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
Umesh Bodhwani, Yuan Ling, Shujing Dong +3
A critical challenge in deploying Large Language Models (LLMs) is developing reliable mechanisms to estimate their confidence, enabling systems to determine when to trust model out…
LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMs
Umesh Bodhwani, Yuan Ling, Cibi Chakravarthy Senthilkumar +4
Latent entity extraction (LEE) tackles the challenge of identifying implicit, contextually inferred entities within free text-an area where traditional entity extraction methods fa…
COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation
Yashal Shakti Kanungo, Gyanendra Das, Pooja A +1
Online ads are essential to all businesses and ad headlines are one of their core creative component. Existing methods can generate headlines automatically and also optimize their…
LLMCache: Layer-Wise Caching Strategies for Accelerated Reuse in Transformer Inference
Harsh Vardhan Bansal
Transformer-based language models have achieved remarkable performance across a wide range of tasks, yet their high inference latency poses a significant challenge for real-timeand…
Zero-Shot Cross-Lingual Transfer using Prefix-Based Adaptation
Snegha A, Sayambhu Sen, Piyush Singh Pasi +2
With the release of new large language models (LLMs) like Llama and Mistral, zero-shot cross-lingual transfer has become increasingly feasible due to their multilingual pretraining…
An Expert-grounded benchmark of General Purpose LLMs in LCA
Artur Donaldson, Bharathan Balaji, Cajetan Oriekezie +2
Purpose: Artificial intelligence (AI), and in particular large language models (LLMs), are increasingly being explored as tools to support life cycle assessment (LCA). While demons…