Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences. - Shrivastava, Vaishnavi; Kumar, Ananya; Liang, Percy (CoRR, 2025)

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. - Gupta, Shashank; Shrivastava, Vaishnavi; Deshpande, Ameet; Kalyan, Ashwin; Clark, Peter; Sabharwal, Ashish; Khot, Tushar (2024)

Benchmarking and Improving Generator-Validator Consistency of Language Models. - Li, Xiang Lisa; Shrivastava, Vaishnavi; Li, Siyan; Hashimoto, Tatsunori; Liang, Percy (2024)

Is a Sunny Day Bright and Cheerful or Hot and Uncomfortable? Young Children's Exploration of ChatGPT. - Shrivastava, Vaishnavi; Sharma, Sumita; Chakraborty, Dipanjan; Kinnula, Marianne (2024)

Benchmarking and Improving Generator-Validator Consistency of Language Models. - Li, Xiang Lisa; Shrivastava, Vaishnavi; Li, Siyan; Hashimoto, Tatsunori; Liang, Percy (CoRR, 2023)

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. - Gupta, Shashank; Shrivastava, Vaishnavi; Deshpande, Ameet; Kalyan, Ashwin; Clark, Peter; Sabharwal, Ashish; Khot, Tushar (CoRR, 2023)

Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation. - Shrivastava, Vaishnavi; Liang, Percy; Kumar, Ananya (CoRR, 2023)

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. - Mireshghallah, Fatemehsadat; Shrivastava, Vaishnavi; Shokouhi, Milad; Berg-Kirkpatrick, Taylor; Sim, Robert; Dimitriadis, Dimitrios (2022)

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. - Mireshghallah, Fatemehsadat; Shrivastava, Vaishnavi; Shokouhi, Milad; Berg-Kirkpatrick, Taylor; Sim, Robert; Dimitriadis, Dimitrios (CoRR, 2021)

Exploring Low-Cost Transformer Model Compression for Large-Scale Commercial Reply Suggestions. - Shrivastava, Vaishnavi; Gaonkar, Radhika; Gupta, Shashank; Jha, Abhishek (CoRR, 2021)