Saved in:
| Main Authors: | Yadav, Suraj, Yadav, Siddharth, Goyal, Parth |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.06298 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diminishing Return of Value Expansion Methods
by: Palenicek, Daniel, et al.
Published: (2024)
by: Palenicek, Daniel, et al.
Published: (2024)
Diminishing Returns in Expanding Generative Models and Godel-Tarski-Lob Limits
by: Majumdar, Angshul
Published: (2026)
by: Majumdar, Angshul
Published: (2026)
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
by: Fernandez, Jared, et al.
Published: (2024)
by: Fernandez, Jared, et al.
Published: (2024)
On the Diminishing Returns of Width for Continual Learning
by: Guha, Etash, et al.
Published: (2024)
by: Guha, Etash, et al.
Published: (2024)
R2V Agent: Teaching SLMs When to Ask for Help
by: Hemadri, Raghu Vamshi, et al.
Published: (2026)
by: Hemadri, Raghu Vamshi, et al.
Published: (2026)
Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation
by: Yu, Zhiqi, et al.
Published: (2026)
by: Yu, Zhiqi, et al.
Published: (2026)
Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs
by: Liang, Zhuowen, et al.
Published: (2026)
by: Liang, Zhuowen, et al.
Published: (2026)
GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO
by: Dipta, Shubhashis Roy, et al.
Published: (2026)
by: Dipta, Shubhashis Roy, et al.
Published: (2026)
Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time Analysis
by: Chandak, Siddharth, et al.
Published: (2026)
by: Chandak, Siddharth, et al.
Published: (2026)
Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks
by: Kuo, Kevin, et al.
Published: (2026)
by: Kuo, Kevin, et al.
Published: (2026)
On the Relationship Between Representation Geometry and Generalization in Deep Neural Networks
by: Yadav, Sumit
Published: (2026)
by: Yadav, Sumit
Published: (2026)
A Concise Review of Hallucinations in LLMs and their Mitigation
by: Pulkundwar, Parth, et al.
Published: (2025)
by: Pulkundwar, Parth, et al.
Published: (2025)
GRPO-RM: Fine-Tuning Representation Models via GRPO-Driven Reinforcement Learning
by: Xu, Yanchen, et al.
Published: (2025)
by: Xu, Yanchen, et al.
Published: (2025)
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
by: Fan, Tao, et al.
Published: (2026)
by: Fan, Tao, et al.
Published: (2026)
A Toolbox, Not a Hammer -- Multi-TAG: Scaling Math Reasoning with Multi-Tool Aggregation
by: Yao, Bohan, et al.
Published: (2025)
by: Yao, Bohan, et al.
Published: (2025)
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
by: Li, Yang, et al.
Published: (2023)
by: Li, Yang, et al.
Published: (2023)
Understanding and Improving Noisy Embedding Techniques in Instruction Finetuning
by: Yadav, Abhay
Published: (2026)
by: Yadav, Abhay
Published: (2026)
Sign-Aware Multistate Jaccard Kernels and Geometry for Real and Complex-Valued Signals
by: Yadav, Vineet
Published: (2025)
by: Yadav, Vineet
Published: (2025)
Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models
by: Yadav, Akash, et al.
Published: (2025)
by: Yadav, Akash, et al.
Published: (2025)
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
by: Zhang, Jia, et al.
Published: (2025)
by: Zhang, Jia, et al.
Published: (2025)
The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities
by: Majumdar, Aditya, et al.
Published: (2025)
by: Majumdar, Aditya, et al.
Published: (2025)
Reinforcement Learning in Non-Markovian Environments
by: Chandak, Siddharth, et al.
Published: (2022)
by: Chandak, Siddharth, et al.
Published: (2022)
Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance
by: Yadav, Pankaj, et al.
Published: (2025)
by: Yadav, Pankaj, et al.
Published: (2025)
Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models
by: Sheng, Zhichao, et al.
Published: (2025)
by: Sheng, Zhichao, et al.
Published: (2025)
GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning
by: Li, Yujun, et al.
Published: (2026)
by: Li, Yujun, et al.
Published: (2026)
A Structure-Agnostic Co-Tuning Framework for LLMs and SLMs in Cloud-Edge Systems
by: Liu, Yuze, et al.
Published: (2025)
by: Liu, Yuze, et al.
Published: (2025)
Paraformer: Parameterization of Sub-grid Scale Processes Using Transformers
by: Wang, Shuochen, et al.
Published: (2024)
by: Wang, Shuochen, et al.
Published: (2024)
Hard Examples Are All You Need: Maximizing GRPO Post-Training Under Annotation Budgets
by: Pikus, Benjamin, et al.
Published: (2025)
by: Pikus, Benjamin, et al.
Published: (2025)
Learning to Translate from Soft to Hard LLM Prompts
by: Kongsomjit, Pitipat, et al.
Published: (2026)
by: Kongsomjit, Pitipat, et al.
Published: (2026)
Compress the Easy, Explore the Hard: Difficulty-Aware Entropy Regularization for Efficient LLM Reasoning
by: Luo, Qin-Wen, et al.
Published: (2026)
by: Luo, Qin-Wen, et al.
Published: (2026)
Failure Modes of Time Series Interpretability Algorithms for Critical Care Applications and Potential Solutions
by: Yadav, Shashank, et al.
Published: (2025)
by: Yadav, Shashank, et al.
Published: (2025)
Misam: Using ML in Dataflow Selection of Sparse-Sparse Matrix Multiplication
by: Yadav, Sanjali, et al.
Published: (2024)
by: Yadav, Sanjali, et al.
Published: (2024)
Differential Machine Learning for Time Series Prediction
by: Yadav, Akash, et al.
Published: (2025)
by: Yadav, Akash, et al.
Published: (2025)
DART: Input-Difficulty-AwaRe Adaptive Threshold for Early-Exit DNNs
by: Patne, Parth, et al.
Published: (2026)
by: Patne, Parth, et al.
Published: (2026)
Crystal Systems Classification of Phosphate-Based Cathode Materials Using Machine Learning for Lithium-Ion Battery
by: Yadav, Yogesh, et al.
Published: (2025)
by: Yadav, Yogesh, et al.
Published: (2025)
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50
by: Yadav, Umesh, et al.
Published: (2025)
by: Yadav, Umesh, et al.
Published: (2025)
Fine-Tuning Small Language Models (SLMs) for Autonomous Web-based Geographical Information Systems (AWebGIS)
by: Ashani, Mahdi Nazari, et al.
Published: (2025)
by: Ashani, Mahdi Nazari, et al.
Published: (2025)
Predictive Scaling Laws for Efficient GRPO Training of Large Reasoning Models
by: Nimmaturi, Datta, et al.
Published: (2025)
by: Nimmaturi, Datta, et al.
Published: (2025)
AMIR-GRPO: Inducing Implicit Preference Signals into GRPO
by: Yari, Amir Hossein, et al.
Published: (2026)
by: Yari, Amir Hossein, et al.
Published: (2026)
Comparative Analysis and Parametric Tuning of PPO, GRPO, and DAPO for LLM Reasoning Enhancement
by: Lian, Yongsheng
Published: (2025)
by: Lian, Yongsheng
Published: (2025)
Similar Items
-
Diminishing Return of Value Expansion Methods
by: Palenicek, Daniel, et al.
Published: (2024) -
Diminishing Returns in Expanding Generative Models and Godel-Tarski-Lob Limits
by: Majumdar, Angshul
Published: (2026) -
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training
by: Fernandez, Jared, et al.
Published: (2024) -
On the Diminishing Returns of Width for Continual Learning
by: Guha, Etash, et al.
Published: (2024) -
R2V Agent: Teaching SLMs When to Ask for Help
by: Hemadri, Raghu Vamshi, et al.
Published: (2026)