301 citations · 373 across the 15 of their papers we have counts for
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cs.LG2023
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
Silviu Pitis
As the capabilities of artificial agents improve, they are being increasingly deployed to service multiple diverse objectives and stakeholders. However, the composition of these ob…
cs.AI2023★ 6 cited
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang +6
Recent advances in Language Model (LM) agents and tool use, exemplified by applications like ChatGPT Plugins, enable a rich set of capabilities but also amplify potential risks - s…
cs.CL2023★ 11 cited
Boosted Prompt Ensembles for Large Language Models
Silviu Pitis, Michael R. Zhang, Andrew Wang +1
Methods such as chain-of-thought prompting and self-consistency have pushed the frontier of language model reasoning performance with no additional training. To further improve per…