Accepted Papers

Accepted papers will be presented during the poster session (4-6pm Oct 9th). Come and learn more!

• Poster printing instrutions: COLM provides an official printing service. For last minute printing services, there is a FedEx printing office onsite in the Hilton SF Union Square. Posters are of size 24in x 36in width/height.

• A Single-GPU Recipe for Specification-Grounded Industrial Decision Support

• AlphaApollo: A System for Deep Agentic Reasoning

• Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs

• Cheap Heads, Not Bigger Bases: Training Beats Scaling for On-Device Function-Call Selection

• Cheap Scores First: Cascading Ablated Auxiliary Models for Targeted Data Selection

• Coverage before Difficulty: Hard-Example Selection Collapses under Small-Budget SFT

• Dispatch Overhead, Not Kernel Quality: The Performance Bottleneck in Single-Stream WebGPU LLM Inference

• Does Efficient Attention Change the Scaling Law, or Just Shift It?

• Express Language Modeling

• Forward Self-Models Learn an Empirical Approximation of Neural Network Computation

• IterRet : Iterative Memory Reconstruction for Long-Horizon Conversational Agents (Small-Scale Frontier Track)

• Last-Layer Gradient Features for Targeted Data Selection in Instruction Tuning

• LoRA Scaffolded Policy Optimization (LSPO): A Sampling- Time Low-Rank Scaffold for Recovering Reinforcement- Learning Gradient on Zero-Reward Cliff Prompts

• Low-Cost Geometric Directions in Frozen Speech Models: A Deepfake Hardness Signal

• Matched Small Clinical Encoders Do Not Support Hybrid MLM+JEPA Superiority

• Metadata Community Detection as Pretraining Data Mixture: Evidence from the Pushshift Reddit Dataset

• Mixture of Training: Recombining Small-Scale Scaffolded Pretraining Runs into a Larger Language Model

• Pretraining Data Scale Reverses the AdamW-Muon Fine-Tuning Gap

• RLVR Sharpens the Pencil, Not the Mind

• Selection Efficiency: Auditing Coherence-Based Selection in Small-Scale Multi-Agent Reasoning

• TAPIR: A Neural Pointer-Based Parallel Tape Machine

• The Active Ingredient in Muon's Grokking

• The Compute Floor of Data Mixing: When Loss-Based Reweighters Start to Drain Easy Synthetic Text

• Token Geometry

• Understanding Small Scale Fine-tuning of LLM-as-a-Judge: A Case Study in Cybersecurity

• Understanding Why LoRA Placement Matters: An Empirical and Mechanistic Study in LLMs

• Understanding Without Knowing: Format and Context Impact on 100M-Parameter Domain QA

• Verify to Intervene, Not to Score: Baseline-Relative Verification for Small-Model Self-Consistency

• Where Muon's Advantage Lives: Small-Scale Causal Localization of an Optimizer's Effect on Learned Features

• Width Recovers, Depth Continues: Architectural Tradeoffs in Small Transformers for Symbolic Regression