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@nelson@tech.lgbt
2025-06-10 01:07:18

Calamus 28 When I peruse the conquered fame of heroes
My surface reading is this is a celebration of the common man, perhaps soldiers, over the more famous generals and presidents. But this commentary encourages me to dig deeper.
First, to highlight the gay text...
the brotherhood of lovers ... Through youth, and through middle and old age, how unfaltering, how affectionate and faithful they were
Very homoromantic language! Male lovers who stay together through their whole lives, affectionate.
The last fillip here is Whitman's own stance: "pensive... filled with the bitterest envy". Whitman admires these lovers and envies them. That's a striking feeling to disclose!

@arXiv_csLG_bot@mastoxiv.page
2025-06-10 19:18:26

This arxiv.org/abs/2505.01903 has been replaced.
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@arXiv_csCR_bot@mastoxiv.page
2025-06-09 07:50:32

SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
Xinghang Li, Jingzhe Ding, Chao Peng, Bing Zhao, Xiang Gao, Hongwan Gao, Xinchen Gu
arxiv.org/abs/2506.05692

@arXiv_eessAS_bot@mastoxiv.page
2025-06-09 08:03:02

Diarization-Aware Multi-Speaker Automatic Speech Recognition via Large Language Models
Yuke Lin, Ming Cheng, Ze Li, Beilong Tang, Ming Li
arxiv.org/abs/2506.05796

@markhburton@mstdn.social
2025-06-08 08:27:54

Zambia's pre-colonial writing system invented by women but almost killed by colonialism - BBC News
bbc.co.uk/news/articles/c5ye50

@spamless@mastodon.social
2025-05-04 18:53:44

I'm a #language fiend too. Lasswell taps into a big sore point for me as well. If you read this, stay away from the comment section. You'll go nuts!
Opinion | The phrase ‘begs the question’ is begging for oblivion - The Washington Post

@erc_bk@fosstodon.org
2025-05-08 15:40:22

I feel like ChatGPT is taking a jab at other types of models here.

Images shows the response of ChatGPT to a query about map artifacts generated by a random forest model. It describes some of the predictions of the model as hallucinations which is a common critique of large language models.
@arXiv_csCL_bot@mastoxiv.page
2025-06-03 08:19:55

Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Pierre-Carl Langlais, Carlos Rosas Hinostroza, Mattia Nee, Catherine Arnett, Pavel Chizhov, Eliot Krzystof Jones, Ir\`ene Girard, David Mach, Anastasia Stasenko, Ivan P. Yamshchikov
arxiv.org/abs/2506.01732

@spamless@mastodon.social
2025-05-04 18:53:44

I'm a #language fiend too. Lasswell taps into a big sore point for me as well. If you read this, stay away from the comment section. You'll go nuts!
Opinion | The phrase ‘begs the question’ is begging for oblivion - The Washington Post

@arXiv_csIR_bot@mastoxiv.page
2025-06-04 07:22:08

A Dynamic Framework for Semantic Grouping of Common Data Elements (CDE) Using Embeddings and Clustering
Madan Krishnamurthy, Daniel Korn, Melissa A Haendel, Christopher J Mungall, Anne E Thessen
arxiv.org/abs/2506.02160

@arXiv_csCY_bot@mastoxiv.page
2025-06-03 07:20:20

SafeCOMM: What about Safety Alignment in Fine-Tuned Telecom Large Language Models?
Aladin Djuhera, Swanand Ravindra Kadhe, Farhan Ahmed, Syed Zawad, Holger Boche, Walid Saad
arxiv.org/abs/2506.00062

@arXiv_csDC_bot@mastoxiv.page
2025-06-06 09:34:26

This arxiv.org/abs/2502.00722 has been replaced.
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@arXiv_csHC_bot@mastoxiv.page
2025-06-04 07:24:10

To Embody or Not: The Effect Of Embodiment On User Perception Of LLM-based Conversational Agents
Kyra Wang, Boon-Kiat Quek, Jessica Goh, Dorien Herremans
arxiv.org/abs/2506.02514

@arXiv_csRO_bot@mastoxiv.page
2025-06-03 08:08:06

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning
Hao Chen, Jiaming Liu, Chenyang Gu, Zhuoyang Liu, Renrui Zhang, Xiaoqi Li, Xiao He, Yandong Guo, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng
arxiv.org/abs/2506.01953

@arXiv_eessSY_bot@mastoxiv.page
2025-06-04 13:43:13

This arxiv.org/abs/2504.09642 has been replaced.
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@pbloem@sigmoid.social
2025-05-17 11:40:12

Found in Naomi Klein's Doppelganger. The one lesson I wish the modern left would internalize more than anything.
Use shared language.
Don't use lefty jargon when the person you're talking to doesn't subscribe to these ideas. No white privilege, no colonial oppression, no intersectionality. Translate to a shared language, built on reasonable, common assumptions and do the work required to bring people on board.
Because you can be damned sure the MAGA crowd ar…

“Speak in the vernacular” the radical historian Mike Davis once pleaded with young organiz- ers. “The moral urgency of change acquires its greatest grandeur, when expressed in a shared language"
@arXiv_eessAS_bot@mastoxiv.page
2025-06-06 09:39:10

This arxiv.org/abs/2505.22251 has been replaced.
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@rperezrosario@mastodon.social
2025-05-25 19:21:01

Linguist Noam Chomsky is interviewed by Common Dreams writer C.J. Polychroniou on the subject of ChatGPT in this May 2023 piece. Chomsky's stance on LLMs is that as long as we're not able to atomically understand what goes on in the statistical black box that currently is an LLM, linguists won't be able to benefit from being able to see whether it learns language like a human does, or not.
"Noam Chomsky Speaks on What ChatGPT Is Really Good For"

@arXiv_csCL_bot@mastoxiv.page
2025-06-03 08:19:43

Fairness Dynamics During Training
Krishna Patel, Nivedha Sivakumar, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
arxiv.org/abs/2506.01709

@arXiv_csIR_bot@mastoxiv.page
2025-06-04 13:36:04

This arxiv.org/abs/2505.11582 has been replaced.
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@arXiv_csCY_bot@mastoxiv.page
2025-06-03 07:19:39

Prompt Engineer: Analyzing Skill Requirements in the AI Job Market
An Vu, Jonas Oppenlaender
arxiv.org/abs/2506.00058

@arXiv_csDC_bot@mastoxiv.page
2025-06-02 09:55:57

This arxiv.org/abs/2407.00066 has been replaced.
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@arXiv_csCY_bot@mastoxiv.page
2025-05-30 07:16:40

Conversational Alignment with Artificial Intelligence in Context
Rachel Katharine Sterken (University of Hong Kong), James Ravi Kirkpatrick (University of Oxford,Magdalen College, Oxford)
arxiv.org/abs/2505.22907