Saved in:
| Main Author: | Ganji, Santosh |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.19022 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spec Kit Agents: Context-Grounded Agentic Workflows
by: Taghavi, Pardis, et al.
Published: (2026)
by: Taghavi, Pardis, et al.
Published: (2026)
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
by: Reizinger, Patrik, et al.
Published: (2025)
by: Reizinger, Patrik, et al.
Published: (2025)
Code Execution as Grounded Supervision for LLM Reasoning
by: Jung, Dongwon, et al.
Published: (2025)
by: Jung, Dongwon, et al.
Published: (2025)
Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning
by: Xu, Manjie, et al.
Published: (2026)
by: Xu, Manjie, et al.
Published: (2026)
Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities
by: Srinivasan, Trisanth, et al.
Published: (2025)
by: Srinivasan, Trisanth, et al.
Published: (2025)
Academic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource Constraint
by: Crowson, Matthew G, et al.
Published: (2025)
by: Crowson, Matthew G, et al.
Published: (2025)
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
by: Miao, Chunyu, et al.
Published: (2025)
by: Miao, Chunyu, et al.
Published: (2025)
Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs
by: Adhikari, Santosh Premi, et al.
Published: (2026)
by: Adhikari, Santosh Premi, et al.
Published: (2026)
Accelerating Error Correction Code Transformers
by: Levy, Matan, et al.
Published: (2024)
by: Levy, Matan, et al.
Published: (2024)
RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
by: Gehring, Jonas, et al.
Published: (2024)
by: Gehring, Jonas, et al.
Published: (2024)
Developing a Grounded View of AI
by: Mao, Bifei, et al.
Published: (2025)
by: Mao, Bifei, et al.
Published: (2025)
Ground-Truthing AI Energy Consumption: Validating CodeCarbon Against External Measurements
by: Fischer, Raphael
Published: (2025)
by: Fischer, Raphael
Published: (2025)
Improving BM25 Code Retrieval Under Fixed Generic Tokenization: Adaptive q-Log Odds as a Drop-In BM25 Fix
by: Radha, Santosh Kumar, et al.
Published: (2026)
by: Radha, Santosh Kumar, et al.
Published: (2026)
Leveraging GNN to Enhance MEF Method in Predicting ENSO
by: Ganji, Saghar, et al.
Published: (2025)
by: Ganji, Saghar, et al.
Published: (2025)
CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells
by: Naik, Atharva, et al.
Published: (2024)
by: Naik, Atharva, et al.
Published: (2024)
Discovery of Bimodal Drift Rate Structure in FRB 20240114A: Evidence for Dual Emission Regions
by: Arron, Santosh
Published: (2026)
by: Arron, Santosh
Published: (2026)
Precision in Practice: Knowledge Guided Code Summarizing Grounded in Industrial Expectations
by: Li, Jintai, et al.
Published: (2026)
by: Li, Jintai, et al.
Published: (2026)
A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models
by: Chanda, Dibaloke, et al.
Published: (2024)
by: Chanda, Dibaloke, et al.
Published: (2024)
AcademiaOS: Automating Grounded Theory Development in Qualitative Research with Large Language Models
by: Übellacker, Thomas
Published: (2024)
by: Übellacker, Thomas
Published: (2024)
Distillation of CNN Ensemble Results for Enhanced Long-Term Prediction of the ENSO Phenomenon
by: Ganji, Saghar, et al.
Published: (2025)
by: Ganji, Saghar, et al.
Published: (2025)
Test-Driven Development for Code Generation
by: Mathews, Noble Saji, et al.
Published: (2024)
by: Mathews, Noble Saji, et al.
Published: (2024)
Code Researcher: Deep Research Agent for Large Systems Code and Commit History
by: Singh, Ramneet, et al.
Published: (2025)
by: Singh, Ramneet, et al.
Published: (2025)
Automated Population-Level Audit Assurance via AI-Based Document Intelligence
by: Vasudevan, Santosh, et al.
Published: (2026)
by: Vasudevan, Santosh, et al.
Published: (2026)
Provable Long-Range Benefits of Next-Token Prediction
by: Cao, Xinyuan, et al.
Published: (2025)
by: Cao, Xinyuan, et al.
Published: (2025)
From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation
by: Yang, Guang, et al.
Published: (2026)
by: Yang, Guang, et al.
Published: (2026)
DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks
by: Wan, Haiyuan, et al.
Published: (2025)
by: Wan, Haiyuan, et al.
Published: (2025)
IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback
by: Pu, Kevin, et al.
Published: (2024)
by: Pu, Kevin, et al.
Published: (2024)
Semantic Voting: Execution-Grounded Consensus for LLM Code Generation
by: Jiang, Shan, et al.
Published: (2026)
by: Jiang, Shan, et al.
Published: (2026)
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
by: Hua, Tianyu, et al.
Published: (2025)
by: Hua, Tianyu, et al.
Published: (2025)
Spec-Driven Development:From Code to Contract in the Age of AI Coding Assistants
by: Piskala, Deepak Babu
Published: (2026)
by: Piskala, Deepak Babu
Published: (2026)
Accelerating AI Development with Cyber Arenas
by: Cashman, William, et al.
Published: (2025)
by: Cashman, William, et al.
Published: (2025)
SciCode: A Research Coding Benchmark Curated by Scientists
by: Tian, Minyang, et al.
Published: (2024)
by: Tian, Minyang, et al.
Published: (2024)
OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding
by: Ding, Deming, et al.
Published: (2026)
by: Ding, Deming, et al.
Published: (2026)
InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation
by: Chen, Qiaosheng, et al.
Published: (2025)
by: Chen, Qiaosheng, et al.
Published: (2025)
Calibrated Language Models Must Hallucinate
by: Kalai, Adam Tauman, et al.
Published: (2023)
by: Kalai, Adam Tauman, et al.
Published: (2023)
Acceleron: A Tool to Accelerate Research Ideation
by: Nigam, Harshit, et al.
Published: (2024)
by: Nigam, Harshit, et al.
Published: (2024)
Accelerating Goal-Conditioned RL Algorithms and Research
by: Bortkiewicz, Michał, et al.
Published: (2024)
by: Bortkiewicz, Michał, et al.
Published: (2024)
Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
by: Di, Yifeng, et al.
Published: (2025)
by: Di, Yifeng, et al.
Published: (2025)
MolGround: A Benchmark for Molecular Grounding
by: Wu, Jiaxin, et al.
Published: (2025)
by: Wu, Jiaxin, et al.
Published: (2025)
GeoContra: From Fluent GIS Code to Verifiable Spatial Analysis with Geography-Grounded Repair
by: Xiao, Yinhao, et al.
Published: (2026)
by: Xiao, Yinhao, et al.
Published: (2026)
Similar Items
-
Spec Kit Agents: Context-Grounded Agentic Workflows
by: Taghavi, Pardis, et al.
Published: (2026) -
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
by: Reizinger, Patrik, et al.
Published: (2025) -
Code Execution as Grounded Supervision for LLM Reasoning
by: Jung, Dongwon, et al.
Published: (2025) -
Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning
by: Xu, Manjie, et al.
Published: (2026) -
Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities
by: Srinivasan, Trisanth, et al.
Published: (2025)