Papers by Feiran Jia

2 papers
The Task Shield: Enforcing Task Alignment to Defend Against Indirect Prompt Injection in LLM Agents (2025.acl-long)

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Challenge: Large Language Model (LLM) agents are becoming conversational assistants . indirect prompt injection attacks pose a critical threat to these systems .
Approach: They propose a novel and orthogonal perspective that reframes agent security . they propose 'task shield' that verifies whether each instruction and tool call contributes to user objectives .
Outcome: The proposed defense reduces attack success rates while maintaining high task utility on the AgentDojo benchmark.
Evidence Retrieval is almost All You Need for Fact Verification (2024.findings-acl)

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Challenge: Existing evidence retrieval methods adopt a trivial retrieval strategy, resulting in task-irrelevant evidence and undesirable performance.
Approach: They propose a framework for evidence retrieval and joint fact verification that integrates two modules.
Outcome: The proposed framework improves evidence retrieval and claims verification on a FEVER dataset.

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