Cunxiang Wang (@cunxiangwang) 's Twitter Profile
Cunxiang Wang

@cunxiangwang

Researcher@ZhipuAI, Postdoc@tsinghua, working with Prof. Jie Tang. PhD advised by Prof. Yue Zhang. Interned @AWScloud. LLM Evaluation, Posttraining

ID: 1158334988993142788

calendar_today05-08-2019 11:12:36

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Zhijiang Guo (@zhijiangg) 's Twitter Profile Photo

๐ŸฅณUpdated the reading list for two fact-checking survey papers (TACL22/EMNLP23). Repo: github.com/Cartus/Automatโ€ฆ ๐Ÿ™ŒIf you are interested in factuality/multimodal/LLM/misinformation, check out our 800+ paper list. Feel free to add more related works to our repo!

๐ŸฅณUpdated the reading list for two fact-checking survey papers (TACL22/EMNLP23).
Repo: github.com/Cartus/Automatโ€ฆ
๐Ÿ™ŒIf you are interested in factuality/multimodal/LLM/misinformation, check out our 800+ paper list.
Feel free to add more related works to our repo!
Jason Wei (@_jasonwei) 's Twitter Profile Photo

Super excited to finally share what I have been working on at OpenAI! o1 is a model that thinks before giving the final answer. In my own words, here are the biggest updates to the field of AI (see the blog post for more details): 1. Donโ€™t do chain of thought purely via

NICE (@academic_nice) 's Twitter Profile Photo

๐Ÿš€ Join us for the EMNLP 2024 Online Paper Sharing Event hosted by NICE & Soochou University AI Lab! ๐Ÿค–๐Ÿ“š ๐Ÿ“… Tentative Date: Mid-October ๐Ÿ”— Sign-up: docs.qq.com/form/page/DU1Jโ€ฆ ๐ŸŒ NICE Homepage: nice-nlp.github.io The event will be conducted in Chinese. Donโ€™t miss out! ๐Ÿ”ฅ

Cunxiang Wang (@cunxiangwang) 's Twitter Profile Photo

ไปŽไบ’่”็ฝ‘่ฏž็”Ÿไปฅๆฅ๏ผŒๅ‡ ไนŽๆ‰€ๆœ‰ๆˆๅŠŸ็š„ๅ…ฌๅธๅฐฑๆ˜ฏๅœจไฟกๆฏ็š„ๅŒน้…ใ€ๅˆ†ๅ‘ไธŠ่ฟ›่กŒไบ†ๅ…จๅฑ€ๆˆ–ๅฑ€้ƒจ็š„้ฉๅ‘ฝ๏ผŒ่€Œไฟกๆฏ็š„ไบง็”Ÿๅ’ŒๅŠ ๅทฅ่ฟ˜ๆ˜ฏไธป่ฆ็”ฑไบบๅทฅ่ฟ›่กŒใ€‚ ๅคงๆจกๅž‹่ฏž็”Ÿไน‹ๅŽ๏ผŒๆœชๆฅAIๅพˆๅฏ่ƒฝไผšๅœจไฟกๆฏ็š„ๅŠ ๅทฅๅ’Œไบง็”ŸไธŠๅ‡บ็Žฐ้ฉๅ‘ฝๆ€ง็š„ๅฝฑๅ“๏ผŒไนŸๅฏ่ƒฝๆ˜ฏAIๆœชๆฅๆœ€ๅคง็š„้ข ่ฆ†ๆ€งใ€‚

Mingchen Zhuge (๐Ÿ‡ธ๐Ÿ‡ฌ ICLR) (@mingchenzhuge) 's Twitter Profile Photo

๐Ÿ”” new ๐—”๐—ด๐—ฒ๐—ป๐˜-๐—ฎ๐˜€-๐—ฎ-๐—๐˜‚๐—ฑ๐—ด๐—ฒ paper: ๐—–๐—ฎ๐—ป ๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฒ๐˜ƒ๐—ฎ๐—น๐˜‚๐—ฎ๐˜๐—ฒ ๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฎ๐˜€ ๐—ฒ๐—ณ๐—ณ๐—ฒ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ๐—น๐˜† ๐—ฎ๐˜€ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป๐˜€? ๐—ฌ๐—ฒ๐˜€, ๐˜๐—ต๐—ฒ๐˜† ๐—ฐ๐—ฎ๐—ป! ๐Ÿ“„ arxiv.org/abs/2410.10934โ€ฆ ๐Ÿ‘จโ€๐Ÿ’ป github.com/metauto-ai/ageโ€ฆ Introducing ๐—”๐—ด๐—ฒ๐—ป๐˜-๐—ฎ๐˜€-๐—ฎ-๐—๐˜‚๐—ฑ๐—ด๐—ฒ, a

๐Ÿ””  new ๐—”๐—ด๐—ฒ๐—ป๐˜-๐—ฎ๐˜€-๐—ฎ-๐—๐˜‚๐—ฑ๐—ด๐—ฒ paper:

๐—–๐—ฎ๐—ป ๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฒ๐˜ƒ๐—ฎ๐—น๐˜‚๐—ฎ๐˜๐—ฒ ๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—ฎ๐˜€ ๐—ฒ๐—ณ๐—ณ๐—ฒ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ๐—น๐˜† ๐—ฎ๐˜€ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป๐˜€? ๐—ฌ๐—ฒ๐˜€, ๐˜๐—ต๐—ฒ๐˜† ๐—ฐ๐—ฎ๐—ป!

๐Ÿ“„ arxiv.org/abs/2410.10934โ€ฆ
๐Ÿ‘จโ€๐Ÿ’ป github.com/metauto-ai/ageโ€ฆ

Introducing ๐—”๐—ด๐—ฒ๐—ป๐˜-๐—ฎ๐˜€-๐—ฎ-๐—๐˜‚๐—ฑ๐—ด๐—ฒ, a
Wangchunshu Zhou (@wangchunshu) 's Twitter Profile Photo

Happy to share our recent work on LLM/Agent personalization. Our AI Persona framework shed lights on how to effectively infer user profiles and continually update user profiles using human-AI interactions.

Qiushi Sun โœˆ๏ธ ICLR ๐Ÿ‡ธ๐Ÿ‡ฌ (@qiushi_sun) 's Twitter Profile Photo

๐ŸŽ‰Introducing our latest work on GUI Agents: "OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis" TLDR: We build an interaction-driven pipeline for synthesizing high-quality and diverse GUI agent trajectory data through reverse Task Synthesis.

๐ŸŽ‰Introducing our latest work on GUI Agents: "OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis"

TLDR: We build an interaction-driven pipeline for synthesizing high-quality and diverse GUI agent trajectory data through reverse Task Synthesis.
Guangsheng Bao (@gshbao) 's Twitter Profile Photo

โ›„๏ธExcited to share our work on causal analysis of LLMs at COLING 2025!๐Ÿ’–Hongbo Linyi Yang Cunxiang Wang "How Likely Do LLMs with CoT Mimic Human Reasoning?" Paper: arxiv.org/pdf/2402.16048

โ›„๏ธExcited to share our work on causal analysis of LLMs at COLING 2025!๐Ÿ’–<a href="/Hongbo00231523/">Hongbo</a> <a href="/linyi_yang/">Linyi Yang</a> <a href="/CunxiangWang/">Cunxiang Wang</a>

"How Likely Do LLMs with CoT Mimic Human Reasoning?"

Paper: arxiv.org/pdf/2402.16048
Cunxiang Wang (@cunxiangwang) 's Twitter Profile Photo

ๅพˆ่ฃๅนธๅ…จ็จ‹ๅ‚ไธŽไบ†ๅœจlmarenaไธญไฝๅˆ—Top9็š„ๆ–ฐZhipu GLM็š„่ฏž็”Ÿ่ฟ‡็จ‹ใ€‚ไธ่ฟ‡ๅฆ‚ๆžœ่ƒฝๆ—ฉๅ‡ ๅคฉๅ‡บ็ป“ๆžœๅฐฑๆ›ดๅฅฝไบ†๐Ÿคฃ Honored to fully participate in the birth of the new Zhipu GLM, which ranks Top 9 in lmarena. But if would be better to see the results a few days earlier (before the new Qwen-max)๐Ÿคฃ

Xiao Liu (Shaw) (@shawliu12) 's Twitter Profile Photo

Diving into the world of LLM agents! ๐Ÿš€ Starting today, I'll share insights from the newest and sharpest papers I read. The agentic AI wave is risingโ€”2025-2026 will be game-changing. Letโ€™s explore, learn, and shape the future together! ๐Ÿ”ฅ #LLM #AgenticAI

Jindong Wang (@jd92wang) 's Twitter Profile Photo

Prospective PhD applicants: if you want me as your supervisor, please submit to dept. of applied science, under which you choose DATA SCIENCE program. I'm NOT in computer science. If you've submitted to CS, I CANNOT see you in our side.

Z.ai (@zai_org) 's Twitter Profile Photo

๐Ÿš€ New name, same mission โ€” ChatGLM is now Z.ai. To mark this new chapter, weโ€™re launching the fully open-source GLM-4-0414 model family under the MIT License โ€” use it, build on it, profit from it. Weโ€™re open-sourcing six models across 9B and 32B sizes. Here

๐Ÿš€ New name, same mission โ€” ChatGLM is now Z.ai.

To mark this new chapter, weโ€™re launching the fully open-source GLM-4-0414 model family under the MIT License โ€” use it, build on it, profit from it.

Weโ€™re open-sourcing six models across 9B and 32B sizes. Here
Xin Zhang | ๅผ ้‘ซ (@xinzhangai) 's Twitter Profile Photo

New 1.5B embedding and reranking models ๐Ÿคฉ !!! New choice between Qwen3-embedding-0.6B and 4B We release **Lychee-embed** and **Lychee-rerank**, based-on Qwen2.5-1.5B and our multi-stage training framework in COLM 2025 paper. #NLP #LLM #RAG #COLM2025

New 1.5B embedding and reranking models ๐Ÿคฉ !!!
New choice between Qwen3-embedding-0.6B and 4B

We release **Lychee-embed** and **Lychee-rerank**, based-on Qwen2.5-1.5B and our multi-stage training framework in COLM 2025 paper.

#NLP #LLM #RAG #COLM2025
Kilo Code (@kilo_code) 's Twitter Profile Photo

A Chinese AI model just shattered our assumptions about the AI market. GLM-4.6 recorded the fastest adoption curve we've seen: 168 million โ†’ 15.9 billion tokens in 12 days. That's 94x growth. Here's why every developer needs to pay attention ๐Ÿงต

A Chinese AI model just shattered our assumptions about the AI market.

GLM-4.6 recorded the fastest adoption curve we've seen: 168 million โ†’ 15.9 billion tokens in 12 days.

That's 94x growth. Here's why every developer needs to pay attention ๐Ÿงต