Hyper-Connections
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KromHC: Manifold-Constrained Hyper-Connections with Kronecker-Product Residual Matrices
Announce Type: replace Abstract: The success of Hyper-Connections (HC) in neural networks (NN) has also highlighted issues related to training instability and restricted scalability. The Manifold-Constrained Hyper-Connections (mHC) mitigate these challenges by projecting the residual connection space onto a Birkhoff polytope, however, it faces two issues: 1) its iterative Sinkhorn-Knopp (SK) algorithm does not always yield exactly doubly stochastic residual matrices; 2) mHC incurs a...
Analyzing Stream Collapse in Hyper-Connections: From Diagnosis to Mitigation
arXiv:2606.03483v1 Announce Type: new Abstract: Hyper-Connections (HC) replace the single Transformer residual stream with multiple streams, introducing a permutation symmetry over stream indices. We study how this symmetry is resolved in practice: whether streams specialize in a balanced way or exhibit dominant-stream usage. Using fine-grained diagnostics for HC-based language models, we trace how multi-stream representations are actually used.
HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion
arXiv:2605.15741v2 Announce Type: replace Abstract: Pixel-space diffusion models bypass the reconstruction bottleneck of Variational Autoencoders (VAEs) but face a fundamental "granularity dilemma": capturing global semantics favors large patch scales, while generating high-fidelity details demands fine-grained inputs. To address this issue, we propose HyperDiT, a unified framework establishing Hyper-Connected Cross-Scale Interactions to bridge the semantic and pixel manifold. Diverging from...
Data vs. dahi-chini: Why AI can code your life, but only your mom can decode your face
We live in an era where artificial intelligence can diagnose our lifestyle errors, draft our corporate emails, and map out a step-by-step strategy to text our crush. It processes billions of data points and language patterns in milliseconds to simulate human reasoning. Today, millions of people treat apps like ChatGPT and Google Gemini as digital confidantes, feeding them their deepest anxieties, career dilemmas, and late-night identity crises.
CART: Context-Anchored Recurrent Transformer -- A Parameter-Efficient Architecture with Learned Stability
arXiv:2606.01495v2 Announce Type: replace Abstract: We present CART (Context-Anchored Recurrent Transformer), a parameter-efficient language model that reuses a single shared core block R times across depth. Unlike prior looped transformers that recompute key-value tensors at every iteration, CART computes K and V once from a multi-layer prelude and has the recurrent core cross-attend to those frozen tensors via multi-head latent attention. A learned Linear Time-Invariant (LTI) gate keeps...
CART: Context-Anchored Recurrent Transformer -- A Parameter-Efficient Architecture with Learned Stability
new Abstract: We present CART (Context-Anchored Recurrent Transformer), a parameter-efficient language model that reuses a single shared core block R times across depth. Unlike prior looped transformers that recompute key-value tensors at every iteration, CART computes K and V once from a multi-layer prelude and has the recurrent core cross-attend to those frozen tensors via multi-head latent attention. A learned Linear Time-Invariant (LTI) gate keeps the recurrence stable: its spectral...
Cockroach Janta Party rallies at New Delhi for youth protests
In Pictures Cockroach Janta Party rallies at New Delhi for youth protests Protesters call for education minister’s resignation after exam scandals, symbolising a lost faith in India’s system. At New Delhi’s Jantar Mantar, India’s most famous protest strip, hundreds of mostly young people in cockroach masks and with dog-eared exam guides in hand tried to turn an online joke into a real-world force. They call themselves the Cockroach Janta Party (CJP) – a satirical “people’s party” born barely...