Saved in:
| Main Authors: | Dong, Zheng, Shang, Luming, Olinto, Gabriela |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.16603 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do pretrained Transformers Learn In-Context by Gradient Descent?
by: Shen, Lingfeng, et al.
Published: (2023)
by: Shen, Lingfeng, et al.
Published: (2023)
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
LLM2TEA: An Agentic AI Designer for Discovery with Generative Evolutionary Multitasking
by: Wong, Melvin, et al.
Published: (2024)
by: Wong, Melvin, et al.
Published: (2024)
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
by: Cheng, Wenhua, et al.
Published: (2023)
by: Cheng, Wenhua, et al.
Published: (2023)
Efficient multi-prompt evaluation of LLMs
by: Polo, Felipe Maia, et al.
Published: (2024)
by: Polo, Felipe Maia, et al.
Published: (2024)
Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees
by: Wu, Yongtao, et al.
Published: (2025)
by: Wu, Yongtao, et al.
Published: (2025)
TopicProphet: Prophesies on Temporal Topic Trends and Stocks
by: Kim, Olivia
Published: (2025)
by: Kim, Olivia
Published: (2025)
RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
by: Ding, Jiale, et al.
Published: (2025)
by: Ding, Jiale, et al.
Published: (2025)
Evil twins are not that evil: Qualitative insights into machine-generated prompts
by: Rakotonirina, Nathanaël Carraz, et al.
Published: (2024)
by: Rakotonirina, Nathanaël Carraz, et al.
Published: (2024)
Soft-prompt Tuning for Large Language Models to Evaluate Bias
by: Tian, Jacob-Junqi, et al.
Published: (2023)
by: Tian, Jacob-Junqi, et al.
Published: (2023)
Language hooks: a modular framework for augmenting LLM reasoning that decouples tool usage from the model and its prompt
by: de Mijolla, Damien, et al.
Published: (2024)
by: de Mijolla, Damien, et al.
Published: (2024)
Evolutionary Contrastive Distillation for Language Model Alignment
by: Katz-Samuels, Julian, et al.
Published: (2024)
by: Katz-Samuels, Julian, et al.
Published: (2024)
TopicDiff: A Topic-enriched Diffusion Approach for Multimodal Conversational Emotion Detection
by: Luo, Jiamin, et al.
Published: (2024)
by: Luo, Jiamin, et al.
Published: (2024)
Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
by: Yoo, YoungJoon, et al.
Published: (2023)
by: Yoo, YoungJoon, et al.
Published: (2023)
W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
by: Wang, Shang
Published: (2025)
by: Wang, Shang
Published: (2025)
Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases
by: Levi, Elad, et al.
Published: (2024)
by: Levi, Elad, et al.
Published: (2024)
Improving LLM General Preference Alignment via Optimistic Online Mirror Descent
by: Zhang, Yuheng, et al.
Published: (2025)
by: Zhang, Yuheng, et al.
Published: (2025)
StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking
by: Rozanov, Nikolai, et al.
Published: (2024)
by: Rozanov, Nikolai, et al.
Published: (2024)
TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs
by: Wanna, Selma, et al.
Published: (2024)
by: Wanna, Selma, et al.
Published: (2024)
Discovering Forbidden Topics in Language Models
by: Rager, Can, et al.
Published: (2025)
by: Rager, Can, et al.
Published: (2025)
Industry-Aligned Granular Topic Modeling
by: Moon, Sae Young, et al.
Published: (2026)
by: Moon, Sae Young, et al.
Published: (2026)
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
by: Kim, Jaekyeom, et al.
Published: (2024)
by: Kim, Jaekyeom, et al.
Published: (2024)
Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
by: Agrawal, Aryan
Published: (2024)
by: Agrawal, Aryan
Published: (2024)
GPG: Generalized Policy Gradient Theorem for Transformer-based Policies
by: Mao, Hangyu, et al.
Published: (2025)
by: Mao, Hangyu, et al.
Published: (2025)
Arc Gradient Descent: A Geometrically Motivated Gradient Descent-based Optimiser with Phase-Aware, User-Controlled Step Dynamics (proof-of-concept)
by: Verma, Nikhil, et al.
Published: (2025)
by: Verma, Nikhil, et al.
Published: (2025)
Memory-Efficient LLM Training with Online Subspace Descent
by: Liang, Kaizhao, et al.
Published: (2024)
by: Liang, Kaizhao, et al.
Published: (2024)
CDQuant: Greedy Coordinate Descent for Accurate LLM Quantization
by: Nair, Pranav Ajit, et al.
Published: (2024)
by: Nair, Pranav Ajit, et al.
Published: (2024)
Evaluating Negative Sampling Approaches for Neural Topic Models
by: Adhya, Suman, et al.
Published: (2025)
by: Adhya, Suman, et al.
Published: (2025)
EvoMU: Evolutionary Machine Unlearning
by: Batorski, Pawel, et al.
Published: (2026)
by: Batorski, Pawel, et al.
Published: (2026)
DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
by: Ko, Jongwoo, et al.
Published: (2025)
by: Ko, Jongwoo, et al.
Published: (2025)
Introducing HALC: A general pipeline for finding optimal prompting strategies for automated coding with LLMs in the computational social sciences
by: Reich, Andreas, et al.
Published: (2025)
by: Reich, Andreas, et al.
Published: (2025)
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)
by: Cheng, Jiale, et al.
Published: (2024)
S2WTM: Spherical Sliced-Wasserstein Autoencoder for Topic Modeling
by: Adhya, Suman, et al.
Published: (2025)
by: Adhya, Suman, et al.
Published: (2025)
Improving Customer Service with Automatic Topic Detection in User Emails
by: Bašaragin, Bojana, et al.
Published: (2025)
by: Bašaragin, Bojana, et al.
Published: (2025)
AlbNews: A Corpus of Headlines for Topic Modeling in Albanian
by: Çano, Erion, et al.
Published: (2024)
by: Çano, Erion, et al.
Published: (2024)
Evolutionary Strategies lead to Catastrophic Forgetting in LLMs
by: Abdi, Immanuel, et al.
Published: (2026)
by: Abdi, Immanuel, et al.
Published: (2026)
ButterflyQuant: Ultra-low-bit LLM Quantization through Learnable Orthogonal Butterfly Transforms
by: Xu, Bingxin, et al.
Published: (2025)
by: Xu, Bingxin, et al.
Published: (2025)
SynapseRoute: An Auto-Route Switching Framework on Dual-State Large Language Model
by: Zhang, Wencheng, et al.
Published: (2025)
by: Zhang, Wencheng, et al.
Published: (2025)
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
by: Sclar, Melanie, et al.
Published: (2023)
by: Sclar, Melanie, et al.
Published: (2023)
Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders
by: Shu, Dong, et al.
Published: (2025)
by: Shu, Dong, et al.
Published: (2025)
Similar Items
-
Do pretrained Transformers Learn In-Context by Gradient Descent?
by: Shen, Lingfeng, et al.
Published: (2023) -
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024) -
LLM2TEA: An Agentic AI Designer for Discovery with Generative Evolutionary Multitasking
by: Wong, Melvin, et al.
Published: (2024) -
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
by: Cheng, Wenhua, et al.
Published: (2023) -
Efficient multi-prompt evaluation of LLMs
by: Polo, Felipe Maia, et al.
Published: (2024)