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Ke Ren

7 accepted papers

2025

ECBANet: Exploiting Complementary Information for Efficient Burst Super-Resolution

ICASSP 2025accepted

Multi-frame Super-Resolution (MFSR) aims to reconstruct a high-resolution (HR) image from a sequence of burst images, thereby overcoming the information scarcity limitations inherent in Single Image Super-Resolution (SISR). In this paper, we propose ECBANet, unlike most existing approaches, we emplo…

Cited by 0SourceScholar
2024

InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance

EMNLP 2024main

As large language models (LLMs) rapidly evolve, they are increasingly being customized through fine-tuning to suit the specific needs of various applications. A critical aspect of this advancement is the alignment process, which ensures that these models perform tasks in ways that align with human v…

2023

PerturbScore: Connecting Discrete and Continuous Perturbations in NLP

EMNLP 2023long findings

With the rapid development of neural network applications in NLP, model robustness problem is gaining more attention. Different from computer vision, the discrete nature of texts makes it more challenging to explore robustness in NLP. Therefore, in this paper, we aim to connect discrete perturbation…

Cited by 0SourcecodeScholar
2023

SeqXGPT: Sentence-Level AI-Generated Text Detection

EMNLP 2023long main

Widely applied large language models (LLMs) can generate human-like content, raising concerns about the abuse of LLMs. Therefore, it is important to build strong AI-generated text (AIGT) detectors. Current works only consider document-level AIGT detection, therefore, in this paper, we first introduc…

Cited by 0SourcecodeScholar
2023

Watermarking LLMs with Weight Quantization

EMNLP 2023long findings

Abuse of large language models reveals high risks as large language models are being deployed at an astonishing speed. It is important to protect the model weights to avoid malicious usage that violates licenses of open-source large language models. This paper proposes a novel watermarking strategy…

Cited by 0SourcecodeScholar
2020

Kidney Exchange with Inhomogeneous Edge Existence Uncertainty

UAI 2020poster

Patients with end-stage renal failure often find kidney donors who are willing to donate a life-saving kidney, but who are medically incompatible with the patients. Kidney exchanges are organized barter markets that allow such incompatible patient-donor pairs to enter as a single agent—where the pa…

Cited by 8SourcePDFScholar