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Theoretical Foundations of δ-margin Majority Voting

Margarita Boyarskaya, Panos Ipeirotis · Nov 11, 2021

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 78% Moderate protocol signal Freshness: Cold Status: Ready
Automatic Metrics Medicine
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
Intermittent Semi-Working Mask: A New Masking Paradigm for LLMs

HaoYuan Hu, Mingcong Lu, Di Luo, XinYa Wu, Jiangcai Zhu, Taoye Yin · Aug 1, 2024

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 75% Moderate protocol signal Freshness: Cold Status: Ready
Automatic Metrics Math
  • Across extensive evaluations, ISM outperforms causal baselines not only on multi-turn dialogue, but also on context-intensive tasks like mathematical reasoning.
Open paper

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 75% Moderate protocol signal Freshness: Cold Status: Ready
Automatic Metrics General
  • Yet to date, research has predominantly focused upon technical frameworks to implement LLM-driven CRS, rather than end-user evaluations or strategic implications for firms, particularly from the perspective of a small to medium enterprises…
  • In the current paper, we detail the design of an LLM-driven CRS in an SME setting, and its subsequent performance in the field using both objective system metrics and subjective user evaluations.
Open paper
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning

Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You · Feb 24, 2024

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 75% Moderate protocol signal Freshness: Cold Status: Ready
Automatic Metrics Coding
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
Piecewise Deterministic Markov Processes for Bayesian Neural Networks

Ethan Goan, Dimitri Perrin, Kerrie Mengersen, Clinton Fookes · Feb 17, 2023

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 75% Moderate protocol signal Freshness: Cold Status: Ready
Automatic Metrics General
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
Federated Transfer Learning with Differential Privacy

Mengchu Li, Ye Tian, Yang Feng, Yi Yu · Mar 17, 2024

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 71% Sparse protocol signal Freshness: Cold Status: Ready
General
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
Demystifying Chains, Trees, and Graphs of Thoughts

Maciej Besta, Florim Memedi, Zhenyu Zhang, Robert Gerstenberger, Guangyuan Piao, Nils Blach · Jan 25, 2024

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 71% Sparse protocol signal Freshness: Cold Status: Ready
Math
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources

Zhikai Li, Xiaoxuan Liu, Banghua Zhu, Zhen Dong, Qingyi Gu, Kurt Keutzer · Oct 11, 2023

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 71% Sparse protocol signal Freshness: Cold Status: Ready
General
  • Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.
Open paper
Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management

M. Saifullah, K. G. Papakonstantinou, A. Bhattacharya, S. M. Stoffels, C. P. Andriotis · Jan 23, 2024

Citations: 0

Match reason: Keyword overlap 1/1 across title and protocol fields.

Score: 75% Moderate protocol signal Freshness: Cold Status: Fallback
Simulation Env Multi Agent Math
  • To tackle the high dimensionality of state and action spaces, we propose DDMAC-CTDE, a Deep Decentralized Multi-Agent Actor-Critic (DDMAC) reinforcement learning architecture with Centralized Training and Decentralized Execution (CTDE).
  • To demonstrate the utility of the proposed framework, we also develop a new comprehensive benchmark environment representing an existing transportation network in Virginia, U.S., with heterogeneous pavement and bridge assets undergoing nons
Open paper
Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection

Valeria Pastorino, Jasivan A. Sivakumar, Nafise Sadat Moosavi · Feb 18, 2024

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 33% Moderate protocol signal Freshness: Cold Status: Ready
Automatic Metrics General
  • In this paper, we conduct a systematic evaluation of several LLMs, including GPT-3.5/4, FLAN-T5, and Llama 3, across zero-shot, few-shot, and explanation-based prompting settings.
  • To enable principled evaluation under real-world topic diversity, we introduce a new dataset of out-of-domain news headlines covering diverse subjects.
Open paper

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