In-Submission   Pre-print   Journal   Conference   Workshop   Demo or Poster

Below is a list of my peer-reviewed publications and manuscripts.
(See my CV for the full list. or Google Scholar)

Under Review

In-Submission

TraceBack: Multi-Agent Decomposition for Fine-Grained Table Attribution

Tejas Anvekar*, Junha Park*, Rajat Jha*, Devanshu Gupta, Poojah Ganesan, Puneeth Mathur, Vivek Gupta

[Paper] · [Website] · [Code] · [Benchmark]

In-Submission

DoPE: Decoy Oriented Perturbation Encapsulation Human-Readable, AI-Hostile Documents for Academic Integrity

Ashish Raj Shekhar*, Shiven Agarwal*, Priyanuj Bordoloi, Yash Shah, Tejas Anvekar, Vivek Gupta

[Paper] · [Website] · [Code] · [Benchmark]

Pre-print

Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE

Abhijit Chakaborty, C. Dahal, A. Balasubramaniam, Tejas Anvekar, Vivek Gupta

[Paper]

2026

Conference ACL 2026

TabReX: Tabular Referenceless eXplainable Evaluation

Tejas Anvekar, Junha Park, Aparna Garimella, Vivek Gupta

[Paper] · [Website] · [Code] · [Benchmark]

Demo or Poster ACL 2026

FD-NL2SQL: Feedback-Driven Clinical NL2SQL that Improves with Use

Suparno Roy Chowdhury*, Tejas Anvekar*, Manan Roy Choudhury*, Muhammad Ali Khan, Kaneez Zahra Rubab Khakwani, Mohamad Bassam Sonbol, Irbaz Bin Riaz, Vivek Gupta

[Paper] · [Website] · [Slides] · [Code] · [Benchmark] · [Video] · [Demo]

Workshop BioNLP @ ACL 2026

SCOPE: Planning for Hybrid Querying over Clinical Trial Data

Suparno Roy Chowdhury*, Manan Roy Choudhury*, Tejas Anvekar, Muhammad Ali Khan, Kaneez Zahra Rubab Khakwani, Mohamad Bassam Sonbol, Irbaz Bin Riaz, Vivek Gupta

[Paper] · [Website] · [Slides] · [Code] · [Video]

Workshop Efficient Spatial Reasoning @ ICLR 2026

ViTaB-A: Evaluating Multimodal Large Language Models on Visual Table Attribution

Yahia Alqurnawi*, Preetom Biswas*, Anmol Rao*, Tejas Anvekar, Vivek Gupta

[Paper] · [Website] · [Code] · [Benchmark]

Demo or Poster EACL 2026

Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments

Ashish Raj Shekhar*, Shiven Agarwal*, Priyanuj Bordoloi, Yash Shah, Tejas Anvekar, Vivek Gupta

[Paper] · [Website] · [Slides] · [Code] · [Benchmark] · [Video] · [Demo]

Conference WACV 2026

The Perceptual Observatory: Characterizing Robustness and Grounding in MLLMs

Tejas Anvekar*, Fenil Bardoliya*, Pavan Turaga, Chitta Baral, Vivek Gupta

[Paper] · [Website] · [Poster] · [Slides] · [Code] · [Video] · [X Thread]

2025

Conference ACL 2025

TabXEval: Why this is a Bad Table? An Exhaustive Rubric for Table Evaluation

V. Pancholi*, J. S. Bafna*, Tejas Anvekar*, Manish Shrivastava, Vivek Gupta

[Paper] · [Website] · [Slides] · [Code]

Conference AACL 2025

Rethinking Information Synthesis in Multimodal Question Answering: A Multi-Agent Perspective

Tejas Anvekar*, Krishna Singh Rajput*, Chitta Baral, Vivek Gupta

[Paper] · [Website] · [Slides] · [Code]

Workshop WACV-W 2025

Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations

Tejas Anvekar, Shivanand Sheshappanavar

[Paper] · [Slides] · [Code]

2024

Workshop AAAI 2024

Novel Class Discovery for Cultural Heritage Neural Radiance Fields (Student Abstract)

Shivanand Kundargi, Tejas Anvekar, R. Tabib, Uma Mudenagudi

[Paper]

Conference 3DV 2024

A Benchmark Grocery Dataset of Real-World Point Clouds from Single View

Shivanand Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Y. Wang, C. Kambhamettu

[Paper] · [Website]

2023

Workshop CL4Vision @ CVPR 2023

PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark

Shivanand Kundargi*, Tejas Anvekar*, RA Tabib, Uma Mudenagudi

[Paper]

Workshop WiCV @ ICCV 2023

TP-NoDe: Topology-Aware Progressive Noising and Denoising for Point Cloud Upsampling

Akash Kumbar*, Tejas Anvekar*, TA Vikrama, RA Tabib, Uma Mudenagudi

[Paper] · [Code]

Workshop e-Heritage @ ICCV 2023

DeFi: Filling Holes in Point Clouds for Cultural Heritage Restoration

R Tabib, Dikshit Hegde, Tejas Anvekar, Uma Mudenagudi

[Paper] · [Video]

Workshop e-Heritage @ ICCV 2023

Asur3D: Arbitrary Scale Point Cloud Upsampling with Local Occupancy Fields

Akash Kumbar, Tejas Anvekar, RA Tabib, Uma Mudenagudi

[Paper] · [Video]

Workshop StruCo3D @ CVPR 2023

IPD-Net: SO(3)-Invariant Primitive Decomposition for Point Clouds

RA Tabib, N Upasi, Tejas Anvekar, Dikshit Hegde, Uma Mudenagudi

[Paper] · [Poster] · [Video]

Workshop DLGC @ CVPR 2023

GPr-Net: Geometric Prototypical Network for Few-Shot Point Cloud Learning

Tejas Anvekar, Dena Bazazian

[Paper] · [Code] · [Video]

Demo or Poster SIGGRAPH Asia 2023

Metric-kNN is All You Need

Tejas Anvekar, Dikshit Hegde, RA Tabib, Uma Mudenagudi

[Paper] · [Poster] · [Video]

2022

Workshop DLGC @ CVPR 2022

VG-VAE: A Point-Cloud Variational Autoencoder

Tejas Anvekar, RA Tabib, Dikshit Hegde, Uma Mudenagudi

[Paper] · [Video]

Workshop ImageMatching @CVPR 2022

DA-AE: Disparity-Alleviation Autoencoder for Heritage Image Categorization

Dikshit Hegde, Tejas Anvekar, RA Tabib, Uma Mudenagudi

[Paper] · [Video]