Google introduces Test of Time, a new benchmark to evaluate Large Language Models (LLMs) on temporal reasoning tasks. The benchmark aims to assess LLMs' abilities in temporal logic, an area where current models struggle, highlighting the need for further research and improvement.
Separating Fact from Logic: Test of Time ToT Benchmark Isolates Reasoning Skills in LLMs for Improved Temporal Understanding https://t.co/0oiL0VYMR7 #TemporalReasoning #AI #TestOfTime #LLMs #ArtificialIntelligence #ai #news #llm #ml #research #ainews #innovation #artificialin… https://t.co/wgkzVQvl45
Separating Fact from Logic: Test of Time ToT Benchmark Isolates Reasoning Skills in LLMs for Improved Temporal Understanding Quick read: https://t.co/E1GFcRP0Mf Paper: https://t.co/Q2yGgO3gJT HF Page: https://t.co/lmVqQANwn7
More evidence that LLMs ability to reason temporally is another benchmark for future improvement. Complex reasoning for multiple simultaneous events is pretty mediocre. Paper from #SoochowUniversity. https://t.co/gWazGW85q8
[CL] Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning https://t.co/RslAmugboG - This paper introduces Test of Time (ToT), a new benchmark for evaluating LLMs on temporal reasoning. It has two complementary tasks - ToT-Semantic and ToT-Arithmetic. -… https://t.co/wB2JeP64bF
Test of Time A Benchmark for Evaluating LLMs on Temporal Reasoning Large language models (LLMs) have showcased remarkable reasoning capabilities, yet they remain susceptible to errors, particularly in temporal reasoning tasks involving complex temporal logic. https://t.co/4g5jfIgb3M
Google presents Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning Presents a novel benchmark designed to assess LLMs’ temporal reasoning abilities, which SotA LLMs currently struggle with data: https://t.co/bFLa119629 abs: https://t.co/h7KVVpF3aw https://t.co/yKeEnH3OtK
this is a great scoop from @markgurman and should be another data point in the argument that for all the hype around LLMs, there are real questions about how valuable they are, esp given the cost of running them https://t.co/arb2H3HSDh
I appreciate @fchollet pointing to a concrete benchmark that highlights the limitations of LLM reasoning capabilities today. I’m more optimistic than he is that LLMs will crack it, but I agree that there is more research to do! https://t.co/t4RkyeHhir