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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>LUNR Lab - Language Understanding and Reasoning</title>
<link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet">
<link href="home.css" rel="stylesheet">
</head>
<body>
<header class="text-white p-4">
<div class="container">
<div class="header-content">
<div class="logo-section">
<img src="images/LUNR.png" class="img-fluid rounded h-100 object-fit-cover">
<div class="lab-info">
<h3 class="mb-0">Language Understanding and Reasoning (LUNR)</h3>
<p class="contact-info mb-0">Address: New Computer Science 244</p>
<p class="contact-info mb-0">Contact: (631) 632-2457</p>
</div>
</div>
<nav class="navbar navbar-expand-lg">
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarNav">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNav">
<ul class="navbar-nav">
<li class="nav-item"><a href="home.html" class="nav-link active">Home</a></li>
<li class="nav-item"><a href="people.html" class="nav-link">People</a></li>
<li class="nav-item"><a href="publications.html" class="nav-link">Publications</a></li>
</ul>
</div>
</nav>
</div>
</div>
</header>
<main class="container py-5">
<div class="text-center mb-5">
<h5>The Language Understanding and Reasoning (LUNR) lab @ Stony Brook University, New York led by Dr. Niranjan Balasubramanian focuses on building, evaluating and analyzing systems that can identify, extract, understand and reason about actions and events, described in natural language as well as through programmatic constructs.</h5>
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<div class="row">
<!-- Projects Column -->
<div class="col-lg-9">
<div class="card mb-4">
<div class="row g-0">
<div class="col-md-4">
<img src="images/Appworld.png" alt="Agents" class="img-fluid rounded-start h-100 object-fit">
</div>
<div class="col-md-8">
<div class="card-body">
<h4 class="card-title text-primary">
Autonomous Agents for Solving Tasks
</h4>
<p class="card-text">Agents, augmented with language models and tools, are designed to solve a variety of tasks ranging from day to day activities like emailing to complex software engineering problems. We focus on development of benchmarks and methodologies for improving autonomous agents. We have developed <a href="https://appworld.dev/">AppWorld</a>, a controllable world of apps for evaluating language models as autonomous agents. This work has won the <b>ACL 2024 Best Resource Paper</b> and the <b>National Artificial Intelligence Research Resource (NAIRR) Pilot Award</b>.</p>
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</div>
<div class="card mb-4">
<div class="row g-0">
<div class="col-md-4">
<img src="images/Plan_Reason.png" alt="Planning & Reasoning in NLP" class="img-fluid rounded-start h-100 object-fit-cover">
</div>
<div class="col-md-8">
<div class="card-body">
<h4 class="card-title text-primary">Planning & Reasoning in Language Models</h4>
<p class="card-text">We focus on analyzing the planning and reasoning capabilities of language models by creating novel evaluation benchmarks. We developed <a href="https://aclanthology.org/2024.emnlp-main.1077/">CaT-Bench</a>, a testbed for assessing a model's ability to understand causal dependencies within plans, and <a href="https://aclanthology.org/2024.findings-acl.921/">CustomPlans</a> to evaluate how well they can customize real-world plans.</p>
</div>
</div>
</div>
</div>
<div class="card mb-4">
<div class="row g-0">
<div class="col-md-4">
<img src="images/OVC.png" alt="Software Verification" class="img-fluid rounded-start h-100 object-fit-cover">
</div>
<div class="col-md-8">
<div class="card-body">
<h4 class="card-title text-primary">Verifying Complex Software with NLP</h4>
<p class="card-text">This NSF funded project is looking at developing semantic parsing systems that convert system domain specification texts into formal statements. We have developed <a href="https://aclanthology.org/2022.lrec-1.233">SpecNFS</a>, a dataset of specifications from the Network File System documents and corresponding intermediate formal representations from a custom semantic representation called SpecIR. We also formulate <a href="https://openreview.net/forum?id=BgvgMxY8s5#discussion">ROLex</a>, a retrieval-augmented parsing mechanism for overcoming the problem of open-vocabulary constructs when formalizing specifications.</p>
</div>
</div>
</div>
</div>
<div class="card mb-4">
<div class="row g-0">
<div class="col-md-4">
<img src="images/SageViz.png" alt="Commonsense Knowledge" class="img-fluid rounded-start h-100 object-fit-cover">
</div>
<div class="col-md-8">
<div class="card-body">
<h4 class="card-title text-primary">Understanding Commonsense Knowledge About Events</h4>
<ul class="list-unstyled">
<li><strong>Modeling conditional knowledge about events</strong> - Events typically alter the state of the world. This NSF supported project focuses on developing techniques for acquiring knowledge from news texts and simple narratives.</li>
</br>
<li><strong>Modeling Schematic Event Knowledge</strong> - This DARPA funded project focuses on developing event language models that can reason about events.</li>
</br>
<li><strong>Papers</strong> - <a href="https://aclanthology.org/2023.emnlp-demo.29/">SageViz</a>, <a href="https://arxiv.org/abs/2212.02629">POQue</a>, <a href="https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00600/118075">PASTA</a>, <a href="https://arxiv.org/abs/2302.07139">Event LMs</a> etc.</li>
</ul>
</div>
</div>
</div>
</div>
<div class="card mb-4">
<div class="row g-0">
<div class="col-md-4">
<img src="images/IRCoT.png" alt="Natural Language Inference" class="img-fluid rounded-start h-100 object-fit">
</div>
<div class="col-md-8">
<div class="card-body">
<h4 class="card-title text-primary">
Explainable Natural Language Inference
</h4>
<p class="card-text">This NSF supported project focuses on developing explainable inference algorithms. Applications include question answering, and relation extraction. We formulated multiple tasks and benchmarks to evaluate the limitations of question answering systems in multi-hop settings (<a>DiRE</a>, <a>MusiQUE</a>). We also develop task datasets to evaluate model capabilities in different domains like biology (<a href="https://stonybrooknlp.github.io/BioNLI/">BioNLI</a>).</p>
</div>
</div>
</div>
</div>
</div>
<!-- News Column -->
<div class="col-lg-3">
<div class="latest-news card">
<div class="card-body">
<h3 class="card-title">Latest News</h3>
<ul class="news-list list-unstyled">
<li class="news-item mb-3">
<div class="d-flex align-items-start">
<div class="news-date fw-bold pe-2" style="min-width: 55px;">Dec 2024</div>
<div class="news-content">Sayontan Ghosh passed his thesis dissertation. Congratulations Dr. Sayontan!</div>
</div>
</li>
<li class="news-item mb-3">
<div class="d-flex align-items-start">
<div class="news-date fw-bold pe-2" style="min-width: 55px;">Sept 2024</div>
<div class="news-content">CaT-Bench has been accepted to EMNLP'24.</div>
</div>
</li>
<li class="news-item mb-3">
<div class="d-flex align-items-start">
<div class="news-date fw-bold pe-2" style="min-width: 55px;">Aug 2024</div>
<div class="news-content">AppWorld just won the ACL'24 Best Resource Paper Award!</div>
</div>
</li>
<li class="news-item mb-3">
<div class="d-flex align-items-start">
<div class="news-date fw-bold pe-2" style="min-width: 55px;">July 2024</div>
<div class="news-content">Two papers accepted to COLM 2024.</div>
</div>
</li>
<li class="news-item mb-3">
<div class="d-flex align-items-start">
<div class="news-date fw-bold pe-2" style="min-width: 55px;">Apr 2024</div>
<div class="news-content">AppWorld has been accepted to ACL'24</div>
</div>
</li>
</ul>
</div>
</div>
</div>
</div>
</main>
<footer class="text-white py-4 mt-5">
<div class="container text-center">
<p class="mb-0">© 2025 LUNR. All rights reserved.</p>
</div>
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