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Keyi Kong

7 accepted papers

2026

ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval

ICLR 2026poster

Generative retrieval (GR) reformulates information retrieval (IR) by framing it as the generation of document identifiers (docids), thereby enabling an end-to-end optimization and seamless integration with generative language models (LMs). Despite notable progress under supervised training, GR still…

Cited by 0SourcecodeScholar
2025

Generative Agents for Multimodal Controversy Detection

IJCAI 2025

Multimodal controversy detection, which involves determining whether a given video and its associated comments are controversial, plays a pivotal role in risk management on social video platforms. Existing methods typically provide only classification results, failing to identify what aspects are co

Cited by 0SourcePDFScholar
2025

ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering

EMNLP 2025

Visual Question Answering (VQA) is increasingly used in diverse applications ranging from general visual reasoning to safety-critical domains such as medical imaging and autonomous systems, where models must provide not only accurate answers but also explanations that humans can easily understand an

Cited by 0SourcePDFScholar
2025

SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models

EMNLP 2025

While large language models have demonstrated impressive reasoning abilities, their extension to the audio modality, particularly within large audio-language models (LALMs), remains underexplored. Addressing this gap requires a systematic approach that involves a capable base model, high-quality rea

2024

An LLM can Fool Itself: A Prompt-Based Adversarial Attack

ICLR 2024poster

The wide-ranging applications of large language models (LLMs), especially in safety-critical domains, necessitate the proper evaluation of the LLM’s adversarial robustness. This paper proposes an efficient tool to audit the LLM’s adversarial robustness via a prompt-based adversarial attack (PromptAt…

2024

Perplexity-aware Correction for Robust Alignment with Noisy Preferences

NeurIPS 2024poster

Alignment techniques are critical in ensuring that large language models (LLMs) output helpful and harmless content by enforcing the LLM-generated content to align with human preferences. However, the existence of noisy preferences (NPs), where the responses are mistakenly labelled as chosen or rej…

2023

Syllogistic Reasoning for Legal Judgment Analysis

EMNLP 2023long main

Legal judgment assistants are developing fast due to impressive progress of large language models (LLMs). However, people can hardly trust the results generated by a model without reliable analysis of legal judgement. For legal practitioners, it is common practice to utilize syllogistic reasoning to…

Cited by 0SourceScholar