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30 result(s) for “date 202406 site does lanyingim com site does com site bias in site:arxiv.org” of 60 matched · 1088 ms
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This paper addresses three primary and two secondary research questions:
•
RQ1 (Output Quality): Does using PAWNI-generated structured prompts result in LLM outputs that are more complete and comprehensive compared to outputs from iterative naive prompting
from the top result below
https://arxiv.org/html/2608.01366v2
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2608.02668v1
com/hazdzz/deep_connection \ncudata[Correspondence]Jie Zhang (),
Correspondence: Cheng-Fang Su ()
“Geometry is not true, it is advantageous
https://arxiv.org/html/2608.03703v1
4 The Loop Gain: Rebalancing Pressure in One Number
3 A Model of Preying on a Mechanical Rebalancer
3
https://arxiv.org/html/2608.03153v1
ca \orgnameSimon Fraser University and Korea University
Abstract
When in the lifecycle does a large gender wage gap emerge
https://arxiv.org/html/2608.02941v1
edu
1 Introduction
Large language models (LLMs) have achieved impressive multilingual performance across a broad range of NLP tasks, yet recent work suggests that multilingual capability does not necessarily imply multilingual safety alignment Wang et al
https://arxiv.org/html/2608.02909v1
The main contribution of this paper is to provide a solution for these biases that is (i) computationally simple, (ii) theoretically desirable, and (iii) does not require any more data or variables than what the researcher used in the first place
https://arxiv.org/html/2608.02665v1
We ask a construct-validity question about this instrument and a reliability question about its noise: when an item’s intent is held fixed and only its meaning-preserving surface form varies, does the canonical-form score faithfully estimate model behavior, and how much of any variation is decoding/judge noise
https://arxiv.org/list/econ/new
This approach is theoretically valid, easy to implement, and does not require new data
https://arxiv.org/html/2608.02617v1
2 Preference rank does not track safety outcomes
https://arxiv.org/html/2608.02943v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2608.00028v1
I Introduction
Apractical question now dominates the engineering of multi-agent systems: does adding more agents keep paying off
https://arxiv.org/html/2608.03577v1
But AI also comes with a risk of capability misattribution: users perceive it as having capabilities that it does not possess
https://arxiv.org/html/2607.28847v1
3 Research Question 1: Does Masked Inequality Exist
https://arxiv.org/html/2607.29281v2
This version is a work in progress; please feel free to contact me if you find a mistake, think I missed an important contribution, or just want to send a comment
https://arxiv.org/html/2604.05327v4
While a substantial literature studies local asymptotics under local misspecification, where misspecification typically manifests as an added bias in the Gaussian limit, our framework permits the Gaussian family itself to be globally misspecified in the limit experiment, thereby accommodating much richer classes of
https://arxiv.org/list/cs.CL/new
LG)
Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed
https://arxiv.org/list/cs.CV/new
CV)
Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate understanding, generation, and editing
https://arxiv.org/list/math/new
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New submissions (showing 219 of 219 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.AI/new
In practice, many field descriptions remain ambiguous or incomplete, as much of the essential context (e
https://arxiv.org/html/2210.00131v4
spanning known architectures that are encoder-only, encoder-decoder and decoder-only, with a range of pre-training tasks: 1) masked language modeling (MLM)333This paper does not address the next sentence prediction pre-training objective used in BERT and subsequently dropped in RoBERTa due to limited effectiveness
https://arxiv.org/list/cond-mat.mes-hall/new
Together with metallic transport and a crystal-site density much lower than the doped carrier density, this supports metallic electron crystals in which a subset of carriers crystallizes
https://arxiv.org/html/2608.03624v1
In domains such as healthcare, this is a hard requirement; sensitive data cannot leave the premises, so models must run on-site, often on limited hardware Garg et al
https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset
M Additional Empirical Application: Fishing-site Choice
M
https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
https://arxiv.org/html/2608.02966v1
(c) Because these distractor preferences vary with ability, their identities provide Fisher information that correctness does not retain
https://arxiv.org/list/q-fin/new
GN)
When in the lifecycle does a large gender wage gap emerge
https://arxiv.org/list/cs.IR/new
In a live A/B test on Shopee Homepage Search, it increases GMV per user by 1
https://arxiv.org/html/2608.03044v1
(2025) concluded that sociodemographic prompting does not reliably shift model outputs toward target demographics
https://arxiv.org/html/2607.28127v1
Recent advances in Generative AI have substantially improved financial sentiment analysis through post-trained financial large language models (LLMs)
https://arxiv.org/html/2608.03358v1
org perpetual non-exclusive license
arXiv:2608