← Search

JiaBao Ji

7 accepted papers

2026

HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithimic Coding

ICLR 2026poster

Verifiers provide important reward signals for reinforcement learning of large language models (LLMs). However, it is challenging to develop or create reliable verifiers, especially for code generation tasks. A well-disguised wrong solution program may only be detected by carefully human-written edg…

Cited by 0SourcecodeScholar
2025

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion

EMNLP 2025

Table question answering is a popular task that assesses a model’s ability to understand and interact with structured data. However, the given table often does not contain sufficient information to answer the question, necessitating the integration of external knowledge. Existing methods either conv

2024

Advancing the Robustness of Large Language Models through Self-Denoised Smoothing

NAACL 2024short

Although large language models (LLMs) have achieved significant success, their vulnerability to adversarial perturbations, including recent jailbreak attacks, has raised considerable concerns. However, the increasing size of these models and their limited access make improving their robustness a cha…

2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference

NeurIPS 2024poster

As Large Language Models (LLMs) demonstrate extensive capability in learning from documents, LLM unlearning becomes an increasingly important research area to address concerns of LLMs in terms of privacy, copyright, etc. A conventional LLM unlearning task typically involves two goals: (1) The target…

2023

Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models

ICML 2023poster

Image inpainting refers to the task of generating a complete, natural image based on a partially revealed reference image. Recently, many research interests have been focused on addressing this problem using fixed diffusion models. These approaches typically directly replace the revealed region of t…

2022

Controlling the Focus of Pretrained Language Generation Models

ACL 2022findings

The finetuning of pretrained transformer-based language generation models are typically conducted in an end-to-end manner, where the model learns to attend to relevant parts of the input by itself. However, there does not exist a mechanism to directly control the model’s focus. This work aims to dev…

2021

WebSRC: A Dataset for Web-Based Structural Reading Comprehension

EMNLP 2021main

Web search is an essential way for humans to obtain information, but it’s still a great challenge for machines to understand the contents of web pages. In this paper, we introduce the task of web-based structural reading comprehension. Given a web page and a question about it, the task is to find an…

Cited by 85SourcePDFScholar