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

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

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

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

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

Is a Sunny Day Bright and Cheerful or Hot and Uncomfortable? Young Children's Exploration of ChatGPT. - Vaishnavi Shrivastava; Sumita Sharma; Dipanjan Chakraborty 002; Marianne Kinnula (NordiCHI, 2024)

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

Phi-4-reasoning Technical Report. - Marah I Abdin; Sahaj Agarwal; Ahmed Awadallah 001; Vidhisha Balachandran; Harkirat S. Behl; Lingjiao Chen; Gustavo de Rosa; Suriya Gunasekar; Mojan Javaheripi; Neel Joshi; Piero Kauffmann; Yash Lara; et al. (CoRR, 2025)

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning. - Vaishnavi Shrivastava; Ahmed Awadallah 001; Vidhisha Balachandran; Shivam Garg; Harkirat Behl; Dimitris Papailiopoulos (CoRR, 2025)