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Found 4 papers, 3 papers with code
WebArena: A Realistic Web Environment for Building Autonomous Agents
Building upon our environment, we release a set of benchmark tasks focusing on evaluating the functional correctness of task completions.
Exploring the Role of the Bottleneck in Slot-Based Models Through Covariance Regularization
In this project we attempt to make slot-based models with an image reconstruction objective competitive with those that use a feature reconstruction objective on real world datasets.
LIC-GAN: Language Information Conditioned Graph Generative GAN Model
Deep generative models for Natural Language data offer a new angle on the problem of graph synthesis: by optimizing differentiable models that directly generate graphs, it is possible to side-step expensive search procedures in the discrete and vast space of possible graphs.
Hierarchical Prompting Assists Large Language Model on Web Navigation
Large language models (LLMs) struggle on processing complicated observations in interactive decision making tasks.
