Search Results for author: Anisha Gunjal

Found 3 papers, 1 papers with code

Detecting and Preventing Hallucinations in Large Vision Language Models

1 code implementation11 Aug 2023 Anisha Gunjal, Jihan Yin, Erhan Bas

We find that even the current state-of-the-art LVLMs (InstructBLIP) still contain a staggering 30 percent of the hallucinatory text in the form of non-existent objects, unfaithful descriptions, and inaccurate relationships.

Hallucination Question Answering +1

Drafting Event Schemas using Language Models

no code implementations24 May 2023 Anisha Gunjal, Greg Durrett

Past work has studied event prediction and event language modeling, sometimes mediated through structured representations of knowledge in the form of event schemas.

Descriptive Language Modelling +2

Task-Induced Representation Learning

no code implementations ICLR 2022 Jun Yamada, Karl Pertsch, Anisha Gunjal, Joseph J. Lim

We investigate the effectiveness of unsupervised and task-induced representation learning approaches on four visually complex environments, from Distracting DMControl to the CARLA driving simulator.

Contrastive Learning Imitation Learning +2

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