EMNLP main presentation[D]
Hello everyone, I am presenting at EMNLP Main this year, but I just got the underline link, and under my presentations, it says…
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Go to neurIPS just for a workshop. [D]
Hi, I just finished my masters and got a neurIPS workshop acception. Unfortunately the lab I did it with do not want to fund…
Is is worth staying after the main conference if I don't have workshop registration? (NeurIPS) [D]
Basically the title. Due to the nonsensical situation of NeurIPS being fully sold out before the results were even released, I…
How many of you have seen this honest ICLR submission? [D]
Makes me think how many submissions are just better than this one by quietly removing that line...
Rethinking the design space of Vanilla Pixel Diffusion Transformers
Pixel-space diffusion models have recently re-emerged as a compelling alternative to latent diffusion, avoiding the lossy latent…
Behavioral Couplings: From Formation to Behavioral Emergence in Language Models
Fine-tuning large language models (LLMs) can induce behaviors beyond those explicitly targeted. For example, training a model to…
AI-Driven Reproducibility and Analytical Robustness in Scientific Discovery
Reproducible and analytically robust research findings are essential to scientific progress, but evaluating these properties…
Task-aligned spectral inductive biases in parameterized quantum circuits
Parameterized quantum circuits are widely investigated in quantum machine learning, yet how their architecture can provide…
Beyond the Answer: Student-Conditioned Trace Construction for Reasoning Distillation
A reasoning trace can accompany a correct answer without providing effective supervision for a particular student. We study how…
Waiting Buys Exactly Two Moments: Endogenous Identification in Prediction-Driven Allocation
A planner with a fixed budget of preventive help must decide whom to help and when. Waiting reveals risk but removes intervention…
Quality-of-Transmission Estimation in Quantum Networks: Compute, Simulate, or Learn?
Future quantum networks will rely on control-plane decisions such as routing, scheduling, entanglement provisioning…
Self-Building Labs
Self-driving laboratories (SDLs) accelerate scientific discovery by automating experimental execution and optimization. AI agents…
Beyond SAEs: Consistent Concept Discovery with Sparse Coding
Sparse autoencoders (SAEs) explain foundation model representations by decomposing activations into sparse combinations of…
DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery
Computational drug discovery requires agents to compose scientific operations and adapt to changing evidence and constraints…
Is AI interpretability close to a breakthrough? A new essay has researchers divided
Neural networks may be much easier to read than researchers assumed, with about 90 percent of neurons serving a clear function…
Language Models Learn to Improve Language Models
Large language models (LLMs) are increasingly used to automate AI research, including language-model (LM) development, offering a…
How Finite-Rank Bottlenecks Shape the Low-Rank Adaptation Landscape
Low-rank adaptation (LoRA) has become the standard method for parameter-efficient fine-tuning of large pretrained models, yet…
HiPredict: Predicting the missing HiRISE RED4 spectral channel with machine learning
The High Resolution Imaging Science Experiment (HiRISE) onboard the Mars Reconnaissance Orbiter (MRO) acquires imagery of Mars at…
Peak-Memory Schedules You Can Trust: Exact Realization, Certified Optimality, and the Limits of Recomputation for Inference
Real-time inference on small devices needs low activation memory without extra latency, which makes operator order the most…
The Loss or the Architecture? What Matters in Survival Analysis with Competing Risks
Often, \emph{eg} in healthcare and predictive maintenance, what matters is which of several competing causes will strike first…
Self-Reflective Chain-of-Thought (SRCoT): Evidence-Based Text Generation via a Closed-Loop Retrieve--Reflect--Revise Pipeline on Edge LLMs
Large language models (LLMs) can generate fluent outputs that lack source support or conflict with local operational constraints…
Computers Made of Human Brain Tissue Identify Braille Letters In Breakthrough
Scientists discovered that human brain organoids, which are small neural clusters derived from stem cells, could identify the…
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