OpenAgents: An Open Platform for Language Agents in the Wild (2023 · 62 citations)
Most language-agent frameworks (e.g., AutoGPT, BabyAGI) are developer-oriented prototypes with console interfaces.
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning (2023 · 44 citations)
The paper asks whether large language models can help forecast real-world events in time-stamped sequences, such as political interactions between G20 entities, where each event carries text like a news headline.
From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning (2023 · 24 citations)
Instruction tuning helps language models handle tasks they never saw during training. Its training data, however, usually comes from human crowdsourcing, which is costly and limited in size, or from LLM generation, which is noisy because outputs may not match inputs. The authors propose adding symbolic tasks. These…
Yi-Lightning Technical Report (2024 · 11 citations)
This report from 01.AI describes Yi-Lightning, a proprietary flagship LLM designed to perform well in real use while keeping training, deployment and inference costs low.

Co-authors here

12 of 23 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 101 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated 30 October 2026