Papers with symbolic encoding

3 papers
Harmful Prompt Laundering: Jailbreaking LLMs with Abductive Styles and Symbolic Encoding (2025.emnlp-main)

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Challenge: Large Language Models (LLMs) have demonstrated remarkable capabilities but their misuse for harmful purposes remains a concern.
Approach: They propose a jailbreaking technique that exploits weaknesses in LLMs' architecture . they propose abductive framing and symbolic encoding to bypass safeguards .
Outcome: The proposed technique achieves over 95% attack success rate on GPT-series models and 70% across all targets.
SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction (2026.findings-acl)

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Challenge: Existing paradigms for multi-hop reasoning suffer from high construction costs and limited adaptability to dynamic knowledge.
Approach: They propose a symbolic reasoning framework for multi-hop question answering that integrates the advantages of both paradigms by dynamically generating sub-questions, performing information retrieval and symbolic encoding based on an on-the-fly graph and using a symbol verifier to validate intermediate reasoning steps.
Outcome: The proposed framework significantly improves accuracy and robustness on multiple multi-hop benchmarks and a medical dataset.
Colorful Talks with Graphs: Human-Interpretable Graph Encodings for Large Language Models (2026.findings-acl)

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Challenge: Graph problems require reasoning over explicit structure, permutation invariance, and computationally complex relationships, creating a mismatch with the representations of text-based models.
Approach: They propose a human-interpretable structural encoding strategy that injects graph structure directly into natural language prompts.
Outcome: The proposed method improves performance on synthetic and real-world datasets.

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