72 citations · 84 across the 10 of their papers we have counts for
11 papers
QPILOTS: Efficient Test-Time Q-Steering for Flow Policies
Yifan Ruan, Chenyang Cao, Andreas Burger +7
Flow-matching and diffusion policies are expressive action generators, but optimizing them with temporal-difference reinforcement learning (RL) remains difficult. Effective policy…
Weaker LLMs' Opinions Also Matter: Mixture of Opinions Enhances LLM's Mathematical Reasoning
Yanan Chen, Ali Pesaranghader, Tanmana Sadhu
Recent advances in Large Language Models (LLMs) have raised interest in their formal reasoning capabilities, particularly in mathematics. While closed LLMs like GPT-4 perform well…
Athena: Safe Autonomous Agents with Verbal Contrastive Learning
Tanmana Sadhu, Ali Pesaranghader, Yanan Chen +1
Due to emergent capabilities, large language models (LLMs) have been utilized as language-based agents to perform a variety of tasks and make decisions with an increasing degree of…
Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example
Yanan Chen, Ali Pesaranghader, Tanmana Sadhu +1
Large language models (LLMs) have brought autonomous agents closer to artificial general intelligence (AGI) due to their promising generalization and emergent capabilities. There i…
GPT-DETOX: An In-Context Learning-Based Paraphraser for Text Detoxification
Ali Pesaranghader, Nikhil Verma, Manasa Bharadwaj
Harmful and offensive communication or content is detrimental to social bonding and the mental state of users on social media platforms. Text detoxification is a crucial task in na…
RECipe: Does a Multi-Modal Recipe Knowledge Graph Fit a Multi-Purpose Recommendation System?
Ali Pesaranghader, Touqir Sajed
Over the past two decades, recommendation systems (RSs) have used machine learning (ML) solutions to recommend items, e.g., movies, books, and restaurants, to clients of a business…
Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval
Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi +6
As natural language interfaces enable users to express increasingly complex natural language queries, there is a parallel explosion of user review content that can allow users to b…
DiffuDetox: A Mixed Diffusion Model for Text Detoxification
Griffin Floto, Mohammad Mahdi Abdollah Pour, Parsa Farinneya +4
Text detoxification is a conditional text generation task aiming to remove offensive content from toxic text. It is highly useful for online forums and social media, where offensiv…
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data
Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin +1
Due to recent technical and scientific advances, we have a wealth of information hidden in unstructured text data such as offline/online narratives, research articles, and clinical…
McDiarmid Drift Detection Methods for Evolving Data Streams
Ali Pesaranghader, Herna Viktor, Eric Paquet
Increasingly, Internet of Things (IoT) domains, such as sensor networks, smart cities, and social networks, generate vast amounts of data. Such data are not only unbounded and rapi…
Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams
Ali Pesaranghader, Herna Viktor, Eric Paquet
The last decade has seen a surge of interest in adaptive learning algorithms for data stream classification, with applications ranging from predicting ozone level peaks, learning s…