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Tag: cs.LG

Useful to Whom? The Easy-versus-Coverage Boundary Moves with the Learner

Useful to Whom? The Easy-versus-Coverage Boundary Moves with the Learner

October 12, 2026

[Submitted on 22 Sep 2026 (v1), last revised 9 Oct 2026 (this version, v2)] View PDF HTML (experimental) Abstract:Is the…

CircuitTree: Composing Circuits into A Syllable Transcriber

CircuitTree: Composing Circuits into A Syllable Transcriber

October 12, 2026

[Submitted on 7 Oct 2026] View PDF HTML (experimental) Abstract:The goal of circuit discovery is to decompose a monolithic neural…

Realism VS Accuracy: Event Sequence Forecasting from a Generative Modeling Perspective

Realism VS Accuracy: Event Sequence Forecasting from a Generative Modeling Perspective

October 12, 2026

[Submitted on 8 Oct 2026] View PDF HTML (experimental) Abstract:Event sequences are chains of random events, each described by heterogeneous…

COFFEQA: Counterfactual-Guided Few-Shot Distillation for LLM Question Answering

COFFEQA: Counterfactual-Guided Few-Shot Distillation for LLM Question Answering

October 12, 2026

[Submitted on 9 Oct 2026] View PDF HTML (experimental) Abstract:Knowledge distillation aims to train a smaller student model to mimic…

An Input-Dependent Readout Phase for Resonant Sequence Models

An Input-Dependent Readout Phase for Resonant Sequence Models

October 12, 2026

[Submitted on 26 Sep 2026] View PDF HTML (experimental) Abstract:Sequence models with a fixed-size state avoid the quadratic cost of…

Probabilistic Forecasting of Electric Vehicle Charging in a Time-varying Hierarchical Infrastructure

Probabilistic Forecasting of Electric Vehicle Charging in a Time-varying Hierarchical Infrastructure

October 12, 2026

[Submitted on 9 Oct 2026] View PDF HTML (experimental) Abstract:Uncertainty quantification for electric vehicle (EV) charging demand is essential to…

COBALT: Contextual Bandit Learning with Offline Trajectories for Multi-Turn Code Generation

COBALT: Contextual Bandit Learning with Offline Trajectories for Multi-Turn Code Generation

October 12, 2026

[Submitted on 3 Feb 2026 (v1), last revised 8 Oct 2026 (this version, v2)] View PDF Abstract:Training large language models…

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