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Papers
From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning
AAAI 2026
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
ACL 2025
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
ACL 2025
Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce
EMNLP 2025
Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units
EMNLP 2025
Using Encipherment to Isolate Conditions for the Successful Fine-tuning of Massively Multilingual Translation Models
EMNLP 2025
Watermarking Large Language Models: An Unbiased and Low-risk Method
ACL 2025
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
NeurIPS 2024
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
ACL 2024
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
EMNLP 2024
Fˆ2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax
EMNLP 2020