Aditya Grover
- Papers
- 29
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Authored papers
29OpenThoughts: Data Recipes for Reasoning Models
arXiv 2025
LaViDa: A Large Diffusion Language Model for Multimodal Understanding
arXiv 2025
Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection
reflect-dit-inference-time-scaling-for-text
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
arXiv 2025
MobileWorldBench: Towards Semantic World Modeling For Mobile Agents
arXiv 2025
From Masks to Worlds: A Hitchhiker's Guide to World Models
arXiv 2025
Planned Diffusion
arXiv 2025
When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
arXiv 2025
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
arXiv 2024
MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants
arXiv 2024
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
arXiv 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
arXiv 2024
OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows
CVPR 2025 1
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
arXiv 2024
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
arXiv 2024
ClimaX: A foundation model for weather and climate
arXiv 2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
climatelearn-benchmarking-machine-learning
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
ICCV 2023 1
Leaving Reality to Imagination: Robust Classification via Generated Datasets
arXiv 2023
InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following
arXiv 2023
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
arXiv 2023
Group Preference Optimization: Few-Shot Alignment of Large Language Models
arXiv 2023
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
arXiv 2023
VideoCon: Robust Video-Language Alignment via Contrast Captions
CVPR 2024 1
Masked Autoencoding for Scalable and Generalizable Decision Making
arXiv 2022
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
arXiv 2022
Decision Transformer: Reinforcement Learning via Sequence Modeling
NeurIPS 2021 12
Pretrained Transformers as Universal Computation Engines
arXiv 2021
node2vec: Scalable Feature Learning for Networks
arXiv 2016
Affiliations
Frequent co-authors
10from 29 papers
Hritik Bansal
grad-student
Shufan Li
Kai-Wei Chang
Tung Nguyen
Akash Gokul
Kazuki Kozuka
Konstantinos Kallidromitis
Yusuke Kato
Daniel Israel
Pieter Abbeel
professor