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Gunjan Chhablani

7 accepted papers

2025

EmbodiedSplat: Personalized Real-to-Sim-to-Real Navigation with Gaussian Splats from a Mobile Device

ICCV 2025poster

The field of Embodied AI predominantly relies on simulation for training and evaluation, often using either fully synthetic environments that lack photorealism or high-fidelity real-world reconstructions captured with expensive hardware. As a result, sim-to-real transfer remains a major challenge. I…

2025

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

ICLR 2025poster

We present a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration (PARTNR) designed to study human-robot coordination in household activities. PARTNR tasks exhibit characteristics of everyday tasks, such as spatial, temporal, and heterogeneous agent capability constraints. We empl…

2024

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation

CVPR 2024poster

The Embodied AI community has recently made significant strides in visual navigation tasks exploring targets from 3D coordinates objects language description and images. However these navigation models often handle only a single input modality as the target. With the progress achieved so far it is t…

2023

MultiViz: Towards Visualizing and Understanding Multimodal Models

ICLR 2023poster

The promise of multimodal models for real-world applications has inspired research in visualizing and understanding their internal mechanics with the end goal of empowering stakeholders to visualize model behavior, perform model debugging, and promote trust in machine learning models. However, moder…

2022

Multitask Prompted Training Enables Zero-Shot Task Generalization

ICLR 2022spotlight

Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a consequence of implicit multitask learning in language models’ pretraining (Radford et al., 2019). Can zero-shot genera…

2021

DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature

EMNLP 2021system demonstrations

In this work, we present to the NLP community, and to the wider research community as a whole, an application for the diachronic analysis of research corpora. We open source an easy-to-use tool coined DRIFT, which allows researchers to track research trends and development over the years. The analys…

2021

Datasets: A Community Library for Natural Language Processing

EMNLP 2021system demonstrations

The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Datasets aims to standardize end-user interfaces, vers…