Papers by Ameya Rathod

1 papers
TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems (2026.acl-long)

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Challenge: Existing benchmarks and datasets focus on single-agent settings, failing to capture the unique vulnerabilities of multi-agend LLM dynamics and co-ordination.
Approach: They propose a benchmark to evaluate the robustness and safety of multi-agent LLM systems.
Outcome: The proposed benchmark evaluates the robustness and safety of multi-agent LLM systems.

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