Papers with static and interactive tests
MovieChats: Chat like Humans in a Closed Domain (2020.emnlp-main)
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| Challenge: | Currently, open-domain chatbots are far from satisfactory. |
| Approach: | They propose a unified, readily scalable neural approach which reconciles all subtasks like intent prediction and knowledge retrieval. |
| Outcome: | The proposed approach outperforms commercial systems replying on complex rules on static and interactive tests and shows that the results are remarkably good. |
Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests (2025.findings-emnlp)
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Filippo Momentè, Alessandro Suglia, Mario Giulianelli, Ambra Ferrari, Alexander Koller, Oliver Lemon, David Schlangen, Raquel Fernández, Raffaella Bernardi
| Challenge: | MMLU and BBH are three evaluation paradigms for language learning models . interactive games are superior to standard benchmarks in discriminating models based on human cognitive assessments . |
| Approach: | They examine three evaluation paradigms: standard benchmarks, interactive games and cognitive tests . they examine whether interactive games are more effective at discriminating LLMs . |
| Outcome: | The results show that interactive games are superior to standard benchmarks in discriminating models. |