Towards Tackling Application Logic Flaws through Autonomous Formal-Logic Modeling and Automated Reasoning
cs.CR
Submitted: 2026-09-09
Updated: 2026-10-13
Comments: 13 pages, 3 figures, 3 tables
Code: https://github.com/NickWaterton/Roomba980-Python
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Formal Black-Box Analysis of Routing Protocol Implementations
- eXtreme Modelling in Practice
- Efficient Guided Generation for Large Language Models
- GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM Applications
- Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
- FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
- Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models
- Grammar-Aligned Decoding
- Automata-based constraints for language model decoding
- Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access
- IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
- Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents
- XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models
- JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models
- Gorilla: Large Language Model Connected with Massive APIs
- Unleashing the Power of LLM to Infer State Machine from the Protocol Implementation
- Automated Proof Generation for Rust Code via Self-Evolution
- Ranking LLM-Generated Loop Invariants for Program Verification
- Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
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