activity
20202026
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 730 across the 94 of their papers we have counts for

collaborators
Showing 2025Show all

11 papers · 1 filter

cs.LG2025

EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment

Abhiram Kusumba, Maitreya Patel, Kyle Min +3

Erasing harmful or proprietary concepts from powerful text to image generators is an emerging safety requirement, yet current "concept erasure" techniques either collapse image qua…

cs.CV2025

Chimera: Compositional Image Generation using Part-based Concepting

Shivam Singh, Yiming Chen, Agneet Chatterjee +4

Personalized image generative models are highly proficient at synthesizing images from text or a single image, yet they lack explicit control for composing objects from specific pa…

cs.CV2025

Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation

Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi +6

Recent advances in video generation have enabled high-fidelity video synthesis from user provided prompts. However, existing models and benchmarks fail to capture the complexity an…

cs.SE2025

BuildBench: Benchmarking LLM Agents on Compiling Real-World Open-Source Software

Zehua Zhang, Ati Priya Bajaj, Divij Handa +14

Automatically compiling open-source software (OSS) projects is a vital, labor-intensive, and complex task, which makes it a good challenge for LLM Agents. Existing methods rely on…

cs.CV2025

AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models

Vatsal Malaviya, Agneet Chatterjee, Maitreya Patel +2

Text-to-Image (T2I) models have recently achieved remarkable success in generating images from textual descriptions. However, challenges still persist in accurately rendering compl…

cs.CL2025

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving

Mihir Parmar, Palash Goyal, Xin Liu +5

Recently, decomposing complex problems into simple subtasks--a crucial part of human-like natural planning--to solve the given problem has significantly boosted the performance of…

cs.CV2025

Investigating VLM Hallucination from a Cognitive Psychology Perspective: A First Step Toward Interpretation with Intriguing Observations

Xiangrui Liu, Man Luo, Agneet Chatterjee +3

Hallucination is a long-standing problem that has been actively investigated in Vision-Language Models (VLMs). Existing research commonly attributes hallucinations to technical lim…

cs.CV2025

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions

Bimsara Pathiraja, Maitreya Patel, Shivam Singh +2

Despite recent advances in inversion and instruction-based image editing, existing approaches primarily excel at editing single, prominent objects but significantly struggle when a…

cs.CV2025

TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark

Forouzan Fallah, Maitreya Patel, Agneet Chatterjee +3

Generating images with embedded text is crucial for the automatic production of visual and multimodal documents, such as educational materials and advertisements. However, existing…

cs.CV2025

VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning

Nilay Yilmaz, Maitreya Patel, Yiran Lawrence Luo +4

Multimodal Large Language Models (MLLMs) have become a powerful tool for integrating visual and textual information. Despite their exceptional performance on visual understanding b…

cs.AI2025★ 1 cited

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving

Mihir Parmar, Xin Liu, Palash Goyal +11

Recent agent frameworks and inference-time algorithms often struggle with complex planning problems due to limitations in verifying generated plans or reasoning and varying complex…