Channel
@hf_dailypapers
On this record: Topic · Growth · Engagement · Posts · Cite this entry
48subscribers
+3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003470620083 |
|---|---|
| Type | Channel |
| Username | @hf_dailypapers |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 12 October 2026 |
| On Telegram | t.me/hf_dailypapers |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 29 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Oct 2026, 18:54 | 48 | +1 |
| 9 Sept 2026, 01:16 | 47 | +2 |
| 10 Aug 2026, 15:16 | 45 | no change |
| 7 Aug 2026, 18:41 | 45 | first reading |
20 posts held, back to 8 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 10 August 2026. An engagement rate over an empty window would be a number about nothing.
Community Posts: 1. The Distillation Research: Why 15,000 Clean Traces Outperform 100,000 Raw Ones - 2 🔼 2. Zero-Shot Text Classification in 2026: NLI, Embeddings, Rerankers, or LLMs? - 1 🔼 3. 🔍 J'ai publié mes expériences de RL. Un lecteur a exécuté le code, et quatre de mes chiffres n'ont pas survécu 🇫🇷 - 1 🔼 4. 🔍 I published my RL experiments. A reader ran the code, and four of my numbers didn't survive 🇫🇷 - 1 🔼 …
Community Posts: 1. Model Genome: Fingerprinting Whether an LLM Was Trained From Scratch or Derived - 12 🔼 2. GLInt: Geometry-Matched Hard Negatives for Late-Interaction Retrieval - 3 🔼 3. The Safety Mechanism Caused the Divergence - 0 🔼 4. Agreement, Anchors, Addresses: A Week of Geometric Training - 0 🔼 5. Blackwell isn't a monolith: what happens when you actually measure kernel performance on GB10 - 0 🔼
Weekly Top Papers: 1. Recursive Synthesis for Long-Horizon Terminal Tasks - 221 🔼 2. LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks - 161 🔼 3. SwanTale: Unified Multi-Speaker Speech and Audio Generation for Instruct and Zero-Shot Tasks - 154 🔼 4. Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs - 140 🔼 5. DAPD: Dual-Anchored Policy Distillation - 1…
Weekly trending models: 1. MiniMaxAI/MiniMax-H3 3145❤️ image-text-to-video 2. deepseek-ai/DeepSeek-V4-Flash-0731 2873❤️ text-generation 3. Comfy-Org/MiniMax-H3 1016❤️ 4. moonshotai/Kimi-K3 10354❤️ image-text-to-text 5. larryvrh/MiniMax-H3-Turbo-Lora 500❤️ text-to-video 6. DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF 1775❤️ image-text-to-text 7. LiquidAI/LFM2.5-2.6B 424❤️ text-genera…
Blog Posts: 1. TutorMoments: Do AI tutors know when to help and when to hold back? - 4 🔼 Community Posts: 1. Lattice: an 8 MB static retriever that embeds Wikipedia in 7 minutes - 12 🔼 2. Rebuilding Among AIs from Six Log Files - 6 🔼 3. From Point Clouds to Tensors: Bijective Gridification with SquareNet - 1 🔼 4. On the integrity of the Arabic TTS Arena leaderboard - 0 🔼 5. Decoder crowding predicts SAE steering s…
Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation by Lingo Research Group 🔼 3 Abstract: Multilingual text embedding models are commonly adapted using a single training objective across diverse tasks, despite different tasks requiring fundamentally different optimization strategies. We introduce Task-Conditional Flow Matching (TCFM), a multilingual embedding adaptation framework that …
GaussianSelector: Lightweight Human-Guided Object Selection in 3D Gaussian Splatting with Graph Optimization by LL Lab 🔼 4 Abstract: Selecting a complete 3D object from a reconstructed scene with minimal user effort is essential for practical scene editing and embodied interaction. Existing 3DGS-based methods either retrain the Gaussian representation to embed per-object labels, or build dense multi-view SAM observa…
FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds 🔼 5 Abstract: World models have attracted significant attention for their ability to capture and predict the structure and dynamics of the physical world. In this emerging landscape, Joint Embedding Predictive Architectures (JEPA) offer a particularly compelling direction. We study a …
Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills 🔼 4 Abstract: Robot learning is splitting into two bets: policies that bake competence into frozen weights (vision-language-action, or VLA, models), and agents that write and refine their own executable skills as code. This survey organises the field around that axis of weights versus skills…
Continual Learning in Transition by Chinese Academic of Science Institute of Automation 🔼 5 Abstract: Classical continual learning (CL) has primarily focused on enabling models to update and retain knowledge through parameter-centric mechanisms, e.g., training strategies, architectural designs, and weight adaptation. However, emerging paradigms are reshaping the scope of CL beyond this traditional model adaptation v…
Invisible Shortcuts: Why Vision Encoders Know Your Camera 🔼 9 Abstract: Deep vision models exploit shortcuts, relying on cues that correlate with supervision signals. Prior work has focused on visible biases, such as object-background or texture correlations. We identify a different source of shortcut learning: invisible metadata traces embedded at the pixel level, for metadata such as image processing and photo acq…
MASS: Multiplayer World Models with Authoritative Shared State by Alaya Lab 🔼 7 Abstract: Current video world models struggle in multiplayer environments because they entangle world state with view-dependent visual latents, leading to redundant compute, view inconsistencies, and poor scalability. We propose MAS (Multiplayer world models with Authoritative Shared State) to resolve this limitation. Inspired by multipl…
Showing the 12 most recent of 20 posts we hold for @hf_dailypapers. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 2 October 2026 — this entry's latest reading, not the date you are reading this.
“Huggingface Daily papers” (@hf_dailypapers), 48 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/hf_dailypapers.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.