small language model

Knowing about a body is not learning from one: a pilot study of a language-model agent with artificial interoception

A small language model given an artificial body used what it already knew about bodies, but over ten nights of self-training did not learn anything new from its own. We gave Qwen2.5-1.5B-Instruct an agent body in a simple survival world. The body had energy and integrity, which were reported in text (T), injected along...

Code and outputs for: Retrieval, Verification, and Latency Trade-offs for a Small Local Language Model: A Reproducible SciFact Pilot Study

Scripts, saved outputs and figures for a pilot study of Qwen2.5-3B-Instruct on SciFact: dense retrieval evaluation (300 queries), paired model-only versus RAG latency (100 queries), post-hoc verification, and a retrospective score-gated verification analysis. The SciFact corpus is not included and must be obtained from...

ARQM-LITE: A Small Tool for Requirements Quality Analysis

The featuretree IR: an Open Feature-Tree Format, Emitted Natively into Several CAD Systems and Checked by Re-Reading

When a program or a language-model agent writes a part, a person still has to be able to open it, see how it was built, and change one dimension without starting again. That needs a shared, small description of the feature tree (the "timeline" every history-based CAD system shows) that an agent can emit, each CAD syste...

Toolkit for Confidence-Corpus Consistency, Corpus Absorption and Rule Learning via Fine-Tuning on a Fabricated Corpus

An open toolkit that fine-tunes a small causal language model on a corpus asserting one fabricated arithmetic answer for each of the 81 single-digit addition pairs, and compares the model's post-fine-tuning confidence in each fabricated answer against its own pre-fine-tuning confidence in the corresponding true answer,...

IWAC Sentiment Analysis Visualization

Interactive SvelteKit dashboard for exploring large language model sentiment annotations of the Islam West Africa Collection (IWAC), a corpus of 12,349 francophone West African press articles from 57 newspapers, published between 1961 and 2025 in Benin, Burkina Faso, Côte d'Ivoire, Niger and Togo. Each article is annot...

Little Brains, Big Feats: Exploring Compact Language Models

NRITYAM: Language Models Meet Art and Heritage of Dance

Deploying LLM Inference on a Repurposed UMA APU: Transferable Lessons from a Vulkan-Only, 16 GB Edge Platform

Cost-driven interest in running large language models (LLMs) on non-mainstream silicon outpaces the maturity of the surrounding software stacks. This paper uses one such platform, the AMD BC-250 (a repurposed cryptocurrency-mining board with a GFX1013 "Cyan Skillfish" accelerated processing unit (APU), 16 GB of unified...

Verifier-Grounded Interference Search: Exact State Merging, Learned Inhibition, and Parallel Execution for Language-Model Reasoning

Beyond Plausibility: Verifiable Fine-Grained Image Editing on Structured Assets

Fine-grained image editing requires more than producing a visually plausible result: an editor must execute the requested attribute change precisely while leaving everything else intact. However, existing benchmarks leave a critical gap between realism and verifiability: benchmarks built on realistic images typically r...

Efficient Test-time Adaptation through Candidate Verification and Divergence Shifts

This paper proposes Test-Time Correction (TTC), a hypothesis-based correction framework guided by a simple principle: hypothesize, reconstruct, correct, that consistently improves accuracy over state-of-the-art VLM-TTA methods while achieving up to 2x speedup, over 3x lower CPU memory usage, and up to 1.4x lower GPU me...