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Academic · 1 min

Reliability Gated Multi-Teacher Distillation for Low Resource Abstractive Summarization

arXiv:2604.03192v1 Announce Type: new Abstract: We study multiteacher knowledge distillation for low resource abstractive summarization from a reliability aware perspective. We introduce EWAD (Entropy Weighted …

Dipto Sumit, Ankan Kumar Roy, Sadia Khair Rodela, Atia Haque Asha, Mourchona Afrin, Niloy Farhan, Farig Yousuf Sadeque

17 views Apr 6

Academic · 1 min

ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health Agents

arXiv:2604.02834v1 Announce Type: new Abstract: Longitudinal health agents must reason across multi-source trajectories that combine continuous device streams, sparse clinical exams, and episodic life events …

Chao Li, Cailiang Liu, Ang Gao, Kexin Deng, Shu Zhang, Langping Xu, Xiaotong Shi, Xionghao Ding, Jian Pei, Xun Jiang

4 views Apr 6

Academic · 1 min

VoxelCodeBench: Benchmarking 3D World Modeling Through Code Generation

arXiv:2604.02580v1 Announce Type: new Abstract: Evaluating code generation models for 3D spatial reasoning requires executing generated code in realistic environments and assessing outputs beyond surface-level …

Yan Zheng, Florian Bordes

4 views Apr 6

Academic · 1 min

AXELRAM: Quantize Once, Never Dequantize

arXiv:2604.02638v1 Announce Type: new Abstract: We propose AXELRAM, a smart SRAM macro architecture that computes attention scores directly from quantized KV cache indices without dequantization. …

Yasushi Nishida

31 views Apr 6

Academic · 1 min

Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization

arXiv:2604.03110v1 Announce Type: new Abstract: Knowledge distillation is an effective technique for pre-trained language model compression. However, existing methods only focus on the knowledge distribution …

Zihe Liu, Yulong Mao, Jinan Xu, Xinrui Peng, Kaiyu Huang

2 views Apr 6

Academic · 1 min

Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models

arXiv:2604.02340v1 Announce Type: new Abstract: Recent advances in masked diffusion language models (MDLMs) narrow the quality gap to autoregressive LMs, but their sampling remains expensive …

Ivan Sedykh, Nikita Sorokin, Valentin Malykh

4 views Apr 6

Academic · 1 min

CIPHER: Conformer-based Inference of Phonemes from High-density EEG

arXiv:2604.02362v1 Announce Type: cross Abstract: Decoding speech information from scalp EEG remains difficult due to low SNR and spatial blurring. We present CIPHER (Conformer-based Inference …

Varshith Madishetty

9 views Apr 6

Academic · 1 min

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation

arXiv:2604.02355v1 Announce Type: new Abstract: Combining Chain-of-Thought (CoT) with Reinforcement Learning (RL) improves text-to-image (T2I) generation, yet the underlying interaction between CoT's exploration and RL's …

Han Song, Yucheng Zhou, Jianbing Shen, Yu Cheng

7 views Apr 6

Academic · 1 min

WGFINNs: Weak formulation-based GENERIC formalism informed neural networks'

arXiv:2604.02601v1 Announce Type: new Abstract: Data-driven discovery of governing equations from noisy observations remains a fundamental challenge in scientific machine learning. While GENERIC formalism informed …

Jun Sur Richard Park, Auroni Huque Hashim, Siu Wun Cheung, Youngsoo Choi, Yeonjong Shin

33 views Apr 6

Academic · 1 min

An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code

arXiv:2604.02352v1 Announce Type: cross Abstract: Although LLMs are capable of generating functionally correct code, they also tend to produce less energy-efficient code in comparison to …

Sophie Weidmann, Fernando Castor

9 views Apr 6

Academic · 1 min

Haiku to Opus in Just 10 bits: LLMs Unlock Massive Compression Gains

arXiv:2604.02343v1 Announce Type: cross Abstract: We study the compression of LLM-generated text across lossless and lossy regimes, characterizing a compression-compute frontier where more compression is …

Roy Rinberg, Annabelle Michael Carrell, Simon Henniger, Nicholas Carlini, Keri Warr

34 views Apr 6

Academic · 1 min

Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models

arXiv:2604.02560v1 Announce Type: new Abstract: Discrete diffusion language models (dLLMs) accelerate text generation by unmasking multiple tokens in parallel. However, parallel decoding introduces a distributional …

Liran Ringel, Ameen Ali, Yaniv Romano

9 views Apr 6

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Articles

Reliability Gated Multi-Teacher Distillation for Low Resource Abstractive Summarization

ESL-Bench: An Event-Driven Synthetic Longitudinal Benchmark for Health Agents

VoxelCodeBench: Benchmarking 3D World Modeling Through Code Generation

AXELRAM: Quantize Once, Never Dequantize

Multi-Aspect Knowledge Distillation for Language Model with Low-rank Factorization

Not All Denoising Steps Are Equal: Model Scheduling for Faster Masked Diffusion Language Models

CIPHER: Conformer-based Inference of Phonemes from High-density EEG

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation

WGFINNs: Weak formulation-based GENERIC formalism informed neural networks'

An Initial Exploration of Contrastive Prompt Tuning to Generate Energy-Efficient Code

Haiku to Opus in Just 10 bits: LLMs Unlock Massive Compression Gains

Dependency-Guided Parallel Decoding in Discrete Diffusion Language Models

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