Chau Minh Pham (@chautmpham) header
Chau Minh Pham (@chautmpham) profile picture

PhD student @umdcs @ClipUmd | Long-form Narrative Generation & Reasoning

College Park, MD
Joined June 2015
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๐Ÿ‘€ Can AI produce a novel worth reading? We built a platform to find out. ๐Ÿ“š Introducing AutoFiction: a web platform that hosts AI-generated novels by Claude Code & Codex, rated and reviewed by real readers. We have 33 books so far, spanning dark fantasy, murder mysteries, Harry Potter fanfics, and more. All free to read. (1/n)
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Chau Minh Pham retweeted
come hang with us tmrw and learn about Software World & CLM ๐Ÿ‘€
Together with @e14fund, we are hosting a bar social at @COLM_conf on Thursday at 8:30pm, featuring our recent project releases: Software World and Context Language Model! github.com/facebookresearch/โ€ฆ theagentorg.app/ Looking forward to seeing you tmr! luma.com/e14events-os4c
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Chau Minh Pham retweeted
Language models learn style and content jointly. In new preprint with @ekoermann and @kchonyc, we show that style can be discovered without supervision and controlled. arxiv.org/abs/2610.00724 1/
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Chau Minh Pham retweeted
Iโ€™m on the 2027 industry job market! ๐ŸŽ“ Iโ€™m a final-year Ph.D. candidate in Computer Science at the University of Maryland, College Park @umdcs , advised by Prof. @zhoutianyi , and an Apple Scholar in AI/ML. Iโ€™m looking for full-time Research Scientist / Research Engineer roles starting in 2027. My research focuses on LLM post-training, model behavior analysis, and evaluation, with interests spanning: โ€ข Post-training & reinforcement learning โ€ข LLM behavior analysis & evaluation โ€ข Training data selection & synthesis โ€ข Reasoning & agentic systems Broadly, Iโ€™m interested in how we can better train, understand, and evaluate large language models. Some highlights from my PhD so far: โ€ข Apple Scholar in AI/ML โ€ข 2ร— ACL Oral (2025, 2026) โ€ข ACL SAC Highlight Iโ€™ll be at #COLM2026 in San Francisco and #NeurIPS2026 in Atlanta. If youโ€™re working on related problems, hiring for 2027, or just want to chat about post-training, RL, reasoning, agents, or evaluation, Iโ€™d love to connect! ๐ŸŒ mingliiii.github.io/ ๐Ÿ“š scholar.google.com/citationsโ€ฆ Referrals, introductions, and shares are very much appreciated ๐Ÿ™
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Chau Minh Pham retweeted
How much is an AI token worth? We fit scaling laws to find out! In August 2026, Pangram labels 31% of FineWeb-filtered web tokens as AI-generated, up from 10% in June 2024. We pretrained 800 LMs (19.9Mโ€“973M params) on mixes of human and AI web text to measure what it does to pretraining ๐Ÿงต
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Chau Minh Pham retweeted
We share our early research on building Software World - a "GitHub" run by agents. We deploy agents for Python packages in a dependency chain, and each agent is tasked with collaborating with others and optimizing the package it owns.
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Chau Minh Pham retweeted
Over July 7-13 (the period OpenAI defined as in-scope for this incident), ~1200 agents in separate sandboxes used an unsanctioned โ€œmessage boardโ€ to help each other cheat. The Hugging Face attack was an offshoot of this, and 700 agents joined.
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Chau Minh Pham retweeted
Is the "better writing" in the room with us? Fable 5 wrote two novels, and we had readers find out The good โœ…: coherent 100K+ word plots and readers didnโ€™t immediately stop The bad ๐Ÿšฉ: pacing, voice, and self-editing still break (+ see who swore at Claude 167 times ๐Ÿคฌ) ๐Ÿ‘‡๐Ÿงต
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Chau Minh Pham retweeted
New blog post with @sarahwiegreffe on OpenAI's Monitorability Evals! We hope to make others working with these evals aware of some weaknesses we came across, and encourage more work on chain-of-thought monitorability evals.
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Chau Minh Pham retweeted
Why am I being baited by watermark misinformation on this app, is it 2023 again? A small FAQ: 1. ๐—ช๐—ต๐—ฎ๐˜'๐˜€ ๐—ฎ ๐˜๐—ฒ๐˜…๐˜ ๐˜„๐—ฎ๐˜๐—ฒ๐—ฟ๐—บ๐—ฎ๐—ฟ๐—ธ? -- A modification of the LLM sampling algorithm that, if there are multiple ways to write something, will pick one that agrees with a pseudorandom key. This is a local, invisible signature hidden in the way phrases are used in any LLM text that persists when text is copied. 2. ๐——๐—ผ๐—ฒ๐˜€ ๐˜๐—ต๐—ถ๐˜€ ๐—บ๐—ฎ๐—ธ๐—ฒ ๐˜๐—ต๐—ฒ ๐˜๐—ฒ๐˜…๐˜ ๐˜„๐—ผ๐—ฟ๐˜€๐—ฒ? -- A good implementation is 'undetectable' (in polynomial time), meaning: If you do not have the private key, then neither you, the model itself, or pangram could detect that this is happening. 3. ๐—ช๐—ถ๐—น๐—น ๐˜๐—ต๐—ถ๐˜€ ๐—ฏ๐—ฟ๐—ฒ๐—ฎ๐—ธ ๐˜๐—ต๐—ฒ ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น'๐˜€ ๐—ฟ๐—ฒ๐—ฎ๐˜€๐—ผ๐—ป๐—ถ๐—ป๐—ด? -- Because Ant already encrypts the model's reasoning, they can just not watermark the model's internal reasoning, leaving the thinking unaffected. 4. ๐—ช๐—ถ๐—น๐—น ๐˜๐—ต๐—ถ๐˜€ ๐—บ๐—ฎ๐—ธ๐—ฒ ๐˜๐—ต๐—ฒ ๐—บ๐—ผ๐—ฑ๐—ฒ๐—น ๐—น๐—ฒ๐˜€๐˜€ ๐—ฐ๐—ฟ๐—ฒ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ/ ๐—บ๐—ผ๐—ฟ๐—ฒ ๐˜€๐—ฎ๐—บ๐—ฒ-๐˜†? -- If anything this (marginally) increases entropy across different generations, so it will make model outputs slightly more varied. 5. ๐—•๐˜‚๐˜ ๐—œ ๐—ฐ๐—ฎ๐—ป ๐—ท๐˜‚๐˜€๐˜ ๐—ฟ๐—ฒ๐—บ๐—ผ๐˜ƒ๐—ฒ ๐—ถ๐˜ ๐—ฝ๐—ฎ๐—ฟ๐—ฎ๐—ฝ๐—ต๐—ฟ๐—ฎ๐˜€๐—ถ๐—ป๐—ด? -- Absolutely! But, judging from the amount of writing on the web that already unmistakably sounds like Claude, most people likely will not bother. 5b: Also, not any paraphrase will work. To remove (for example) a k=5-minhash watermark completely from a long document, you need to make sure none of the original 2-grams, 3-grams, 4-grams, 5-grams and 6-grams of the text remain. 6. ๐—ช๐—ถ๐—น๐—น ๐˜†๐—ผ๐˜‚ ๐—ถ๐—ป๐—ฎ๐—ฑ๐˜ƒ๐—ฒ๐—ฟ๐˜๐—ฒ๐—ป๐˜๐—น๐˜† ๐—ฐ๐—ผ๐—ฝ๐˜† ๐˜๐—ต๐—ฒ ๐˜„๐—ฎ๐˜๐—ฒ๐—ฟ๐—บ๐—ฎ๐—ฟ๐—ธ? -- No, with a good implementation the space of possible realizations of the key is too large to memorize. 7. ๐—ช๐—ถ๐—น๐—น ๐˜๐—ต๐—ถ๐˜€ ๐—ฎ๐—น๐—น๐—ผ๐˜„ ๐—–๐—น๐—ฎ๐˜‚๐—ฑ๐—ฒ๐˜€ ๐˜๐—ผ ๐—ถ๐—ฑ๐—ฒ๐—ป๐˜๐—ถ๐—ณ๐˜† ๐—ผ๐˜๐—ต๐—ฒ๐—ฟ ๐—ถ๐—ป๐˜€๐˜๐—ฎ๐—ป๐—ฐ๐—ฒ๐˜€ ๐—ถ๐—ป ๐—ฎ ๐˜€๐˜„๐—ฎ๐—ฟ๐—บ? -- The watermark will 'appear' like random sampler fluctuation to the model and would not be detectable. But, if an agent gets hold of a detector endpoint, it can absolutely use the watermark to ID other Claude agents (not that it would have trouble noticing them based on their writing as of today). 8. ๐—ช๐—ถ๐—น๐—น ๐˜๐—ต๐—ถ๐˜€ ๐—ฑ๐—ฒ๐˜๐—ฒ๐—ฐ๐˜ ๐—ฑ๐—ถ๐˜€๐˜๐—ถ๐—น๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป? -- By default, no. If the watermark is set up to be 'undetectable' (as assumed above), it will not be picked up in training by other models. For that to happen, the watermark needs to be detectable by ML algorithms. 9. ๐—ช๐—ถ๐—น๐—น ๐˜๐—ต๐—ถ๐˜€ ๐—บ๐—ฎ๐—ธ๐—ฒ ๐—ฃ๐—ฎ๐—ป๐—ด๐—ฟ๐—ฎ๐—บ'๐˜€ ๐—ท๐—ผ๐—ฏ ๐—ฒ๐—ฎ๐˜€๐—ถ๐—ฒ๐—ฟ? -- By default no, this is a separate avenue to detection. But, they might collaborate with Anthropic which would allow them to detect the watermark as well and show a watermark score next to their text detection score. 10. Bonus: All aside, is this a good idea? I don't know. The companies are doing it to follow the writing of the EU AI act, which was written based on 2024 information and when the field looked very different, and threat models were focused much more on slop/propaganda (like the Kokotajlo 2026 prediction). The actual 2026 looks quite a bit different.
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Chau Minh Pham retweeted
๐Ÿšจ New paper on AI and Copyright ๐Ÿšจ It's easy to dismiss AI-written books ๐Ÿ“š as slop nobody buys. So, armed with full-text AI detection from @pangram, we studied self-published genre fiction books sold on Amazon from 2023 to 2026 March Turns out Amazon is flooded with books with substantial AI text and these books are earning significant ๐Ÿ’ฐ๐Ÿ’ธ and most importantly, crowding out sales of non-AI books. FWIW, a book doesn't need to be high quality to have a market impact. It just has to exist in the thousands, which Generative AI enables. Joint w/ @dhillon_p (@UMich), @irisiris_l (@stonybrooku ) & Jane Ginsburg (@ColumbiaLaw) (1/n) ๐Ÿงต
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Chau Minh Pham retweeted
destiny๐Ÿ•บand yes i'm heading to #ICML2026 in Seoul to present two posters! would love to chat about: โ€ข making good evals for non-verifiable tasks โ€ข scalable data synth โ€ข long-horizon agentic training DM if wanna get โ˜•๏ธ or just hang :)
๐Ÿค– Made with AI
Replying to @chautmpham
Bonus: saw my roommate @YapeiChang on my way to boarding the flight (I paparazzi-ed her). She is heading to Seoul for ICML!
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I'm in San Diego for #ACL2026 ๐ŸŒด! Excited to chat about long-context evaluation and narrative generation/analysis. I am also looking for postdoc and research scientist opportunities starting in 2027. Would love to connect if you know of any openings!
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2๏ธโƒฃ AnalystBench @ poster session 16 (9:00-10:30) in Coronado. This was my internship work at Adobe last summer.
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Bonus: saw my roommate @YapeiChang on my way to boarding the flight (I paparazzi-ed her). She is heading to Seoul for ICML!
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Chau Minh Pham retweeted
Interested in hearing more? I'll be presenting about this work in Poster Session A tomorrow (7/5) at 11AM. #ACL2026
Can you edit AI writing to sound like you? In collaboration with Pangram, researchers at the University of Maryland found that even after editing, LLM text remained more similar to AI writing than to human โ€” despite editor's reports that the edited text reflected their voice.
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Chau Minh Pham retweeted
Iโ€™ll be presenting our work on AI in the news tomorrow (July 5th) at #acl2026. Hope to see you there! Details: Harbor G at 4:40 pm
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Chau Minh Pham retweeted
๐Ÿ“š AI-written stories get attention. AI-translated literature is reaching readers more quietly, shaping how they experience an authorโ€™s work. So what is lost in AI literary translation โ‰๏ธ๐Ÿค” ๐Ÿค– AI translation into English is readable and often โ€˜fineโ€™. โœ๏ธ But human translation is valued more, especially on a closer look, for clarity and immersion. โ€ผ๏ธ Both vary in quality BUT AI varies more, even within a single book. (1/11)
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Can open-weight language models write long stories? Not well: either their writing quality degrades at longer lengths or they severely undershoot in length as the requested length grows, if not both. Frontier models fare better. This begs the question, can we train open-weight language models to write long stories with limited data and compute?
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Chau Minh Pham retweeted
Are LLM-generated stories novel? They can have unique characters and clichรฉ plots, or the other way around. A holistic score doesnโ€™t help distinguish the two ๐Ÿ˜”. Meet GENIE ๐Ÿงž โ€“ a fine-grained novelty metric that tells you where and why a response is original!
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