When RLVR Starts Cheating — Lessons from Long-Horizon GRPO Training on GSM8K
What if the model already knows how to solve many problems, but simply fails to pick the correct reasoning path consistently?
Read on MediumApplied AI. Gamer.
LLM Research Engineer
I’m Sanket, an LLM Research Engineer at Multiverse Computing. These days most of my time goes into post-training LLMs with reinforcement learning — shaping training data mixes and reward environments, running multi-node GPU training runs, and building evaluation pipelines to figure out what actually improved (and what the model quietly learned to game). I also work close to real-world use cases, adapting efficient models to domain-specific tasks.
Earlier, I finished my PhD at PAVIS, Italian Institute of Technology under the supervision of Dr. Alessio Del Bue. During my research, I primarily focused on social interaction analysis for first person videos.
Previously, I have worked with Nokia Bell Labs , SmartVizx , Ernst and Young with their research teams. Besides, I had two startups during my college and filed two provisional patents. I have also been an active participant in technical communities and presented multiple technical talks and workshops at various level(s).
Areas of interest: RL for LLMs (RLVR, GRPO), reward modelling, preference tuning (RLHF, DPO), evaluation and efficient models.
PS: Also exploring mechanistic interpretability — and writing up what I learn along the way on Medium.
What if the model already knows how to solve many problems, but simply fails to pick the correct reasoning path consistently?
Read on MediumThe 100-year-old statistics model that quietly decides which ChatGPT answer you see.
Read on MediumCan the model already generate correct solutions but simply fail to select them consistently? Or is the reasoning capability itself missing?
Read on MediumBuilding a minimal RLVR pipeline from scratch, understanding sequence log-probabilities, reward normalization, and training a reasoning model using exact-match rewards.
Read on MediumLet's say we have 4 GPUs on a single machine and we want to communicate between them — data is sliced, each GPU gets a different slice of the dataset, and the communication pattern differs depending on the type of model parallelism.
Read on MediumWe are able to reduce the training time by almost 2.5x — which is quite significant when training large models for a longer time.
Read on MediumAnd that’s when we seriously began exploring distributed training — a shift that fundamentally changed how we build and scale our models.
Read on MediumCheckout my latest podcast !
Hit me up and lets make another podcast.
*Mar’26 : Joined Multiverse Computing as LLM Research Engineer — working on post-training RL.
*Jan’25 : Joined Frontera Health as Applied Research Scientist.
*Leveraging Next-Active Objects for Short-Term Anticipation in Egocentric Videos
Thakur S., Beyan C., Morerio P., Murino V., Del Bue A.
WACV ‘24
Project Page, Paper
*Guided Attention for Next Active Object@ EGO4D STA Challenge
CVPRW’23
Thakur S., Beyan C., Morerio P., Murino V., Del Bue A.
CVPRW Paper - GANOv2, Code, GANOv2 - CVPR23 submission
Winner CVPR23 EGO4D STA challenge ★
*Enchancing Next-Active-Object based Egocentric Action Anticipation with Guided Attention
ICIP’23
Thakur S., Beyan C., Morerio P., Murino V., Del Bue A.
Project Page, Paper
*Anticipating Next Active Object for egocentric videos
Thakur S., Beyan C., Morerio P., Murino V., Del Bue A.
Journal Review
Project Page, Paper
*Audio-Visual Inpainting: Reconstructing Missing Visual Information with Sound
ICASSP’23
Sanguineti V., Thakur S., Morerio P., Del Bue A., Murino V.
Project Page, Paper
*Predicting Gaze from Egocentric Social Interaction Videos and IMU Data
ACM ICMI’21
Thakur S., Beyan C., Morerio P., Del Bue A.
Project Page, Paper, Code
Stable Diffusion Concept : Pok-Logo < gan-pok> Hugging face
Generative AI based : Guess The YouTube game Project Page
Poster Award, Synapse AI symposium 2023: (Poster), Sept ‘23
Technical Talk at Dolby Labs : Next-Active-Objects for egocentric videos, Sept ‘23
Visiting CSIC-IRI(UPC), Barcelona to work with Mariella Dimiccoli, May ‘22
Invited Technical Talk at SVNIT,India : Egocentric Video Understanding , Aug ‘22
Attended VS3’22 Summer school , July ‘22
Accepted for ELLIS Doctoral symposium ‘21 , September ‘21
Website Chair, ETRA ‘22 , July ‘21
Started PhD at PAVIS/VGM, IIT , November ‘20
You can find me on Twitter.
If you’re oldfashioned you can send me an email
Checkout some of my VR / AR tutorials from previous life
PS: I am still updating this site, few commits a day.

PI: Congratulating me for submission.
— Sanket Thakur (@sanketsans97) June 20, 2021
Me : Who was still running models to get results in the last hour. #thoughtsofaphd #phdchat pic.twitter.com/jGh35e8eMA