Papers with fine-grained accuracy
PolitNuggets: Benchmarking Agentic Discovery of Long-Tail Political Facts (2026.acl-long)
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| Challenge: | Large Reasoning Models (LRMs) are embedded in agentic frameworks and are under-evaluated. |
| Approach: | They propose a multilingual benchmark for agentic information synthesis using PolitNuggets . they standardize evaluation with an optimized Supervisor–Searcher multi-agent system . |
| Outcome: | The proposed model can discover and synthesize "long-tail" facts from dispersed sources. |