UniResearch Community | Ling Liang | Activity https://community.uniresearch.ai/members/lingliang/activity/ Activity feed for Ling Liang. Fri, 11 Sep 2026 11:08:05 +0800 https://buddypress.org/?v=3.4.4 en-US 30 hourly 2 cd25ca7534ece49cb05bd2a199581121 Ling Liang posted a new activity comment https://community.uniresearch.ai/news-feed/p/1019/#acomment-1032 Wed, 09 Sep 2026 13:48:10 +0800 Deliberately search papers published by under‑represented research groups in your field.

In reply to - Ping Zheng posted an update

Method Help

Citation bias means certain papers get over‑cited while equally valuable works get overlooked. What practical steps can you take to reduce citation bias when you build […]

]]> 5d278f8c316889efef88ae7661c3dc5e Ling Liang posted a new activity comment https://community.uniresearch.ai/news-feed/p/783/#acomment-796 Tue, 01 Sep 2026 03:43:07 +0800 Young interdisciplinary researchers rarely get reviewer invitations.

In reply to - Daniel Lopez posted an update More journals are seeking reviewers with cross‑domain knowledge. Interdisciplinary submissions bring new evaluation challenges for editorial boards. ]]> 25a57fb58227d0b713915d30338d648f Ling Liang posted a new activity comment https://community.uniresearch.ai/news-feed/p/586/#acomment-605 Tue, 25 Aug 2026 08:31:21 +0800 Some labs are pressured by funding metrics to keep pushing SOTA numbers instead of doing deeper analysis.

In reply to - David Brown posted an update Constantly chasing state‑of‑the‑art numbers can consume huge compute and human resources. Sometimes incremental, solid analysis delivers more long‑term scientific value. How do you […] ]]> 7c1d72bddaab43d0049f47fcdf848870 Ling Liang posted a new activity comment https://community.uniresearch.ai/news-feed/p/419/#acomment-485 Thu, 20 Aug 2026 17:21:26 +0800 Collaboration with local linguists is under‑emphasized. Purely algorithm‑focused work can miss important linguistic properties.

In reply to - Edward Harris posted an update Most cutting‑edge NLP models are built for high‑resource languages. Even with translation‑based approaches, subtle cultural and linguistic nuance gets lost. What promising […] ]]> a64cde4913b6ae0dbddb8bca0962864a Ling Liang posted a new activity comment https://community.uniresearch.ai/news-feed/p/415/#acomment-472 Thu, 20 Aug 2026 14:50:19 +0800 This is such a real pain point. Many SOTA systems are not feasible outside well‑resourced lab environments.

In reply to - Zhen Xie posted an update Reading top conference papers, model metrics keep climbing. But when moving these models toward real‑world inference, latency, cost and robustness often become show‑stoppers. Do you […] ]]>