Scholar Alters

Parse unread emails from Google Scholar alerts and update README.md

Setting for first use

You should need to use Gmail API Client Library and create credentials.json as explained in the link.

Run

Run from your CLI:

bash script.sh

Papers

Topic	Branch	Papers
Large Language Models, Bug		Mutation Testing via Iterative Large Language Model-Driven Scientific Debugging
Fuzzing		ICSQuartz: Scan Cycle-Aware and Vendor-Agnostic Fuzzing for Industrial Control Systems
Vulnerabilities, Fuzzing	Detection	Exploring Depths of WebAudio: Advancing Greybox Fuzzing for Vulnerability Detection in Safari
Fuzzing		SwFuzz: Structure-Sensitive WebAssembly Fuzzing
		Автоматизація перегляду програмного коду на основі методів машинного навчання
Automated Program Repair, Bug	Repair	Bugfix: a standard language, database schema and repository for research on bugs and automatic program repair
Continuous Integration		Automated deployment and rollback strategies for docker containers in continuous integration/continuous deployment (CI/CD) pipelines
Fault Localization		Simple Fault Localization using Execution Traces
Large Language Models, Code	Agent	Code2JSON: Can a Zero-Shot LLM Agent Extract Code Features for Code RAG?
Code		Investigating Execution-Aware Language Models for Code Optimization
Large Language Models, Code	Generation	CodeSwift: Accelerating LLM Inference for Efficient Code Generation
Fault Localization		Improving Graph Learning-Based Fault Localization with Tailored Semi-supervised Learning
Large Language Models		LLM Compiler: Foundation Language Models for Compiler Optimization
		Lightweight Concolic Testing via Path-Condition Synthesis for Deep Learning Libraries
Vulnerabilities, Large Language Models	Detection	Guessing as a service: large language models are not yet ready for vulnerability detection
Large Language Models, Code	Generation	SolEval: Benchmarking Large Language Models for Repository-level Solidity Code Generation
Large Language Models, Code		Large language models are qualified benchmark builders: Rebuilding pre-training datasets for advancing code intelligence tasks
Fault Localization		Evaluating Spectrum-based Fault Localization on Deep Learning Libraries
Vulnerabilities, Large Language Models	Detection	From Large to Mammoth: A Comparative Evaluation of Large Language Models in Vulnerability Detection
		Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems
Vulnerabilities, Fuzzing	Detection	Effective Directed Fuzzing with Hierarchical Scheduling for Web Vulnerability Detection
Large Language Models		Formal Trust and Threat Modeling Using Large Language Models
Large Language Models		Enhancing Database Encryption: Adaptive Measures for Digital Assets Against LLMs-Based Reverse Engineering
		ER-𝜋: Exhaustive Interleaving Replay for Testing Replicated Data Library Integration
		Finding Metadata Inconsistencies in Distributed File Systems via Cross-Node Operation Modeling
Vulnerabilities, Large Language Models	Detection	GPT-Based Automated Induction: Vulnerability Detection in Medical Software
		Hardware-optimal quantum algorithms
		Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
		From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration
		Capturing nuanced preferences: Preference-aligned distillation for small language models
		Self-Steering Language Models
Large Language Models		Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety
Large Language Models		ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation
		Medvlm-r1: Incentivizing medical reasoning capability of vision-language models (vlms) via reinforcement learning
		FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling
		Multidimensional Consistency Improves Reasoning in Language Models
		Language Models can Self-Improve at State-Value Estimation for Better Search
Vulnerabilities, Fuzzing	Exploit	CHAINFUZZ: Exploiting Upstream Vulnerabilities in Open-Source Supply Chains
		HCAST: Human-Calibrated Autonomy Software Tasks
		Neurosymbolic Program Synthesis
Large Language Models		ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
		PersGuard: Preventing Malicious Personalization via Backdoor Attacks on Pre-trained Text-to-Image Diffusion Models
Large Language Models		EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
Large Language Models		ECCOS: Efficient Capability and Cost Coordinated Scheduling for Multi-LLM Serving
Large Language Models	Agent	Steca: Step-level trajectory calibration for llm agent learning
	Detection	Test-Time Backdoor Detection for Object Detection Models
Large Language Models	Generation	Llm as a broken telephone: Iterative generation distorts information
Large Language Models		LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
Large Language Models		Serving models, fast and slow: optimizing heterogeneous LLM inferencing workloads at scale
Large Language Models		Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models
Vulnerabilities	Detection	AdVul: Adversarial Attack against ML-based Vulnerability Detection