papers

Publications (15)

cs.CL2025

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431

In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…

cs.LG2023

QueryForm: A Simple Zero-shot Form Entity Query Framework

Zifeng Wang, Zizhao Zhang, Jacob Devlin +6

Zero-shot transfer learning for document understanding is a crucial yet under-investigated scenario to help reduce the high cost involved in annotating document entities. We presen…

cs.LG2022

Learning to Prompt for Continual Learning

Zifeng Wang, Zizhao Zhang, Chen-Yu Lee +7

The mainstream paradigm behind continual learning has been to adapt the model parameters to non-stationary data distributions, where catastrophic forgetting is the central challeng…

cs.LG2019

Counterfactual Fairness in Text Classification through Robustness

Sahaj Garg, Vincent Perot, Nicole Limtiaco +3

In this paper, we study counterfactual fairness in text classification, which asks the question: How would the prediction change if the sensitive attribute referenced in the exampl…

cs.CL2024

CodecLM: Aligning Language Models with Tailored Synthetic Data

Zifeng Wang, Chun-Liang Li, Vincent Perot +5

Instruction tuning has emerged as the key in aligning large language models (LLMs) with specific task instructions, thereby mitigating the discrepancy between the next-token predic…

cs.LG2022

DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning

Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi +8

Continual learning aims to enable a single model to learn a sequence of tasks without catastrophic forgetting. Top-performing methods usually require a rehearsal buffer to store pa…