Xin Zhang | 张鑫 @xinzhangai
NLP | LLM, PhD student. Qwen3-Embed/GTE/GME. Past: intern @Ali_TongyiLab . Living w/ Long-Covid. izhx.github.io Hong Kong Joined August 2018-
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LoRA makes fine-tuning more accessible, but it's unclear how it compares to full fine-tuning. We find that the performance often matches closely---more often than you might expect. In our latest Connectionism post, we share our experimental results and recommendations for LoRA.…
@jxmnop Search will always be necessary. If you wanted to teach a human to be as smart as possible, you'd teach them how to find information and critical thinking, instead of trying to teach them everything about everything.
Two headache things I had with the existing Search API: 1) Needing an extra crawl API to get full context. 2) not very accurate filtering over date, which leads to search time contamination for time-sensitive data. Perplexity Search API looks like a good replacement.
Two headache things I had with the existing Search API: 1) Needing an extra crawl API to get full context. 2) not very accurate filtering over date, which leads to search time contamination for time-sensitive data. Perplexity Search API looks like a good replacement.
Should you fine-tune your embedding model? (Spoiler: probably not 𝘺𝘦𝘵) 𝘉𝘦𝘧𝘰𝘳𝘦 jumping into fine-tuning, ask yourself: is your retrieval pipeline actually failing because of domain-specific knowledge gaps, or could it be something simpler? Here's what to check first:…
Really excited to share that FreshStack has been accepted at #neurips25 D&B Track (poster)! 🥁🥁 Huge congratulations to all my @DbrxMosaicAI co-authors! Time to see you in San Diego! 🍻
-2016 (classic era): focus on data efficiency 2017-2025 (pretraining era): focus on compute efficiency 2026-: focus on data efficiency (again) The standard Transformer paradigm is optimized for compute efficiency. As we look at data efficiency, we'll see very different design…
-2016 (classic era): focus on data efficiency 2017-2025 (pretraining era): focus on compute efficiency 2026-: focus on data efficiency (again) The standard Transformer paradigm is optimized for compute efficiency. As we look at data efficiency, we'll see very different design…
Impressive models! 🚀 Congrats!!! We now have new SOTA encoder backbone. Our mGTE-MLM-base outperforms XLM-R-base in 2024 summer (or jan by training), its a "semi-modern" encoder 😃. Glad to see it stands as one of only two baselines, alongside XLM-R.
Impressive models! 🚀 Congrats!!! We now have new SOTA encoder backbone. Our mGTE-MLM-base outperforms XLM-R-base in 2024 summer (or jan by training), its a "semi-modern" encoder 😃. Glad to see it stands as one of only two baselines, alongside XLM-R.
New open-weight small embedding model surpass mGTE !! With Matryoshka Embedding 🪆
New open-weight small embedding model surpass mGTE !! With Matryoshka Embedding 🪆
We benchmarked 10 optimizers and found that the recent new optimizers still have limited speed up (~10%) over Adam at a "larger" scale (1.2B, 8x data than Chinchilla optimal). I guess that means more research to be done in this area!
We benchmarked 10 optimizers and found that the recent new optimizers still have limited speed up (~10%) over Adam at a "larger" scale (1.2B, 8x data than Chinchilla optimal). I guess that means more research to be done in this area!
What BrowseComp+ confirms: (1) Better retrievers remain crucial in agentic search settings and just "grepping" is mostly a suboptimal strategy. Semantic embeddings enable getting to the answer faster and more often w.r.t BM25. (2) Having said that, agentic search is clearly the…
🚀 Introducing BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent. It is a new Deep-Research evaluation benchmark built on top of BrowseComp. It features - 📚 a fixed, carefully curated corpus of web documents - ✅ human-verified positive…
If you're a researcher or engineer releasing open science papers & open models and datasets, I bow to you 🙇🙇🙇 From what I'm hearing, doing so, especially in US big tech, often means fighting your manager and colleagues, going through countless legal meetings, threatening to…
Finally, a 45 page literature review of text embedding model, datasets, evaluation and training methods: arxiv.org/abs/2507.20783
Poster Booth 168, welcome and chat!!! #ACL2025NLP
Poster Booth 168, welcome and chat!!! #ACL2025NLP https://t.co/RuzqdBQkBy
We noticed in community discussions that when using Qwen3-embedding's GGUF models, some developers are not appending the special token <|endoftext|> at the end of the context. This can significantly hurt model accuracy. Check our Model Card (huggingface.co/Qwen/Qwen3-Emb…) for more…
‼️Sentence Transformers v5.0 is out! The biggest update yet introduces Sparse Embedding models, encode methods improvements, Router module for asymmetric models & much more. Sparse + Dense = 🔥 hybrid search performance! Details in 🧵
Siru Ouyang @Siru_Ouyang
1K Followers 956 Following CS PhD candidate @UofIllinois. Alumni @sjtu1896. Interned at @GoogleAI @TencentGlobal @MSFTResearch. LLMs, Agents, Reasoning
Amr Kayid @amr_kayid
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Khaime @BuildWithKhaime
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云创兽Ai @Guumhaug438370
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Nandan Thakur @beirmug
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Shengyao Zhuang @ShengyaoZhuang
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Укрась прощ... @Mac_Jei
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Fatih⏩⤴️ @taskinfatih
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Yiqi Wang @YiqiWang119050
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Ticklish @ticklishgorilla
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Eric Tchirnhausen @tchirnhaus20039
30 Followers 5K Following Like to try new things you never know; trying to prove all software can be automated 😅 😅 😅 | ML/AI, | C++/Java/Go | GitHub : Dyl777
Robert Scoble @Scobleizer
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ibm @i18nbigmouse
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zffl @zffl
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Bamya @0xBamya
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Jaymari Chua @JaymariChua
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Rishi Swami @rishi_swami
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Vedant @code_mesh15
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519 Followers 3K Following @amazonscience | @microsoft AI | @columbia | agents, search and personalization
WX J @ppangxuan
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Raphaël Sourty @raphaelsrty
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Siru Ouyang @Siru_Ouyang
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hazyresearch @HazyResearch
9K Followers 1K Following A research group in @StanfordAILab working on the foundations of machine learning & systems. https://t.co/JHK58TDorG Ostensibly supervised by Chris Ré
Ant Ling @AntLingAGI
2K Followers 115 Following A series of open-source large models from Ant Group, Ling for LLM, Ring for Reasoning LLM, Ming for MLLM. See us at inclusionAI.
Zhihu Frontier @ZhihuFrontier
894 Followers 79 Following 🚀Bringing China's AI & tech trends, voices and perspectives to the global stage. ⚡️Powered by 知乎/https://t.co/OkIemRZdcj, China's leading knowledge community.
DatologyAI @datologyai
2K Followers 12 Following DatologyAI builds tools to automatically select and optimize the best data on which to train AI models, leading to better, smaller models which train faster.
HKUNLP @hkunlp2020
118 Followers 85 Following We are a group of researchers working on natural language processing in the Department of Computer Science at the University of Hong Kong.
Shengyao Zhuang @ShengyaoZhuang
307 Followers 294 Following Applied scientist at @amazon Working on information retrieval, NLP.
Manuel Faysse @ManuelFaysse
2K Followers 408 Following NLP Research, interning at FAIR @AIatMeta + PhD Candidate @CentraleSupelec Prev: @imperialcollege, @epfl
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jietang @jietang
3K Followers 108 Following Professor @ Tsinghua University Artificial General Intelligence, Large Language Model
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1K Followers 962 Following We are the Natural Language Processing community at @imperialcollege
JHU CLSP @jhuclsp
7K Followers 6K Following Center for Language and Speech Processing at @JohnsHopkins #NLProc #MachineLearning #AI https://t.co/6IXR5OSQtw @[email protected]
Hongyuan Mei @RoverHM
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Albert Gu @_albertgu
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Saining Xie @sainingxie
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Pascale Fung @pascalefung
3K Followers 46 Following Senior Director of A.I. Research, Meta-FAIR. Chair Professor of ECE, HKUST. Fellow of AAAI, ACL, IEEE, ISCA.
Google Research @GoogleResearch
23K Followers 16 Following Impossible? Let’s see. From algorithms to neuroscience to AI, Google Research strives to progress science, advance society & improve billions of people’s lives.
Peng Qi @qi2peng2
4K Followers 391 Following Research Lead @OrbyAI. Previously: @AWS AI, $JD AI, PhD @stanfordnlp, UG @Tsinghua_Uni. He/him. Opinions my own.
Tongyi Lab @Ali_TongyiLab
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jianlin.su @Jianlin_S
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Jingtao Zhan @Jingtao_Zhan
262 Followers 203 Following PhD student at @Tsinghua_Uni @thuir_lab. #WebSearch | #NeuralRanking | #NLP.
Xinyu Crystina Zhang @crystina_z
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Kaichao You @KaichaoYou
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sean lee @xmlee97
155 Followers 404 Following 🧑🏫@ polyu | developing multimodal IR @mixedbreadai | ex-@alipay | Hiking | Semantics & Information Retrieval
Unitree @UnitreeRobotics
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