Delip Rao
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View article: Probabilistic Soundness Guarantees in LLM Reasoning Chains
Probabilistic Soundness Guarantees in LLM Reasoning Chains Open
In reasoning chains generated by large language models (LLMs), initial errors often propagate and undermine the reliability of the final conclusion. Current LLM-based error detection methods often fail to detect propagated errors because e…
View article: Online Recruitment Fraud Detection Using Machine Learning
Online Recruitment Fraud Detection Using Machine Learning Open
- The research suggests using machine learning classification methods to identify and prevent fake job postings online. Nowadays, many companies prefer to advertise their job vacancies on the internet for easy access by job seekers. Howeve…
View article: Predicting explainable dementia types with LLM-aided feature engineering
Predicting explainable dementia types with LLM-aided feature engineering Open
Motivation The integration of Machine Learning and Artificial Intelligence (AI) into healthcare has immense potential due to the rapidly growing volume of clinical data. However, existing AI models, particularly Large Language Models (LLMs…
View article: Probabilistic Soundness Guarantees in LLM Reasoning Chains
Probabilistic Soundness Guarantees in LLM Reasoning Chains Open
View article: WithdrarXiv: A Large-Scale Dataset for Retraction Study
WithdrarXiv: A Large-Scale Dataset for Retraction Study Open
Retractions play a vital role in maintaining scientific integrity, yet systematic studies of retractions in computer science and other STEM fields remain scarce. We present WithdrarXiv, the first large-scale dataset of withdrawn papers fro…
View article: Learning Interpretable Style Embeddings via Prompting LLMs
Learning Interpretable Style Embeddings via Prompting LLMs Open
Style representation learning builds content-independent representations of author style in text. Stylometry, the analysis of style in text, is often performed by expert forensic linguists and no large dataset of stylometric annotations ex…
View article: Faithful Chain-of-Thought Reasoning
Faithful Chain-of-Thought Reasoning Open
While Chain-of-Thought (CoT) prompting boosts Language Models' (LM) performance on a gamut of complex reasoning tasks, the generated reasoning chain does not necessarily reflect how the model arrives at the answer (aka. faithfulness). We p…
View article: Learning Interpretable Style Embeddings via Prompting LLMs
Learning Interpretable Style Embeddings via Prompting LLMs Open
Style representation learning builds content-independent representations of author style in text. To date, no large dataset of texts with stylometric annotations on a wide range of style dimensions has been compiled, perhaps because the li…
View article: Faithful Chain-of-Thought Reasoning
Faithful Chain-of-Thought Reasoning Open
Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch. Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Paci…
View article: Hierarchical Bayesian Models for Latent Attribute Detection in Social Media
Hierarchical Bayesian Models for Latent Attribute Detection in Social Media Open
We present several novel minimally-supervised models for detecting latent attributes of social media users, with a focus on ethnicity and gender. Previouswork on ethnicity detection has used coarse-grained widely separated classes of ethni…