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Earlier sources: Language models
Language models learn patterns in text and other representations to predict or generate sequences. Follow model releases, training methods, reasoning, evaluation, and deployment research; a benchmark result is specific to its test conditions.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗457 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- arXiv · Published · First archived
The Fragility of Trigger-Tag Mechanisms for Misuse Detection in Open-Weight LLMs ↗
Open-weight language models can be downloaded, modified, and deployed beyond their developers' control, limiting the effectiveness of centrally enforced safeguards. Recent work has therefore proposed \emph{trigger-tag} mechanisms that produce a detectable signal when a model is used under a target condition, such as generating phishing contents. Although these mechanisms borrow from established techniques, their use for conditional misuse detection in open-weight LLMs is relatively new. Therefore, existing research works have not systematically studied the robustness of trigger-tag mechanisms…
- arXiv · Published · First archived
MintEval: Do LLMs Implement the Trading Strategy You Asked For? A Behavioural-Equivalence Benchmark for Natural-Language-to-Strategy Code ↗
Large language models are moving from producing trading signals to writing the code that executes them. The failure mode of the second role is silent: generated code runs, a backtest plots, yet the risk logic that the trader described is not the logic being executed. Existing code benchmarks test functional correctness on unit tests and finance benchmarks test forecasting; neither measures whether an implementation behaves like the strategy that was asked for. We introduce MintEval, a benchmark in which reference strategies are generated programmatically from a library of composable building b…
- GitHub · Repository created · First archived
LTZY-ACU/LTZY-API ↗
LTZY-API · Self-hosted LLM gateway & OpenAI-compatible API 网关：统一接入自有模型渠道，智能路由、精确计费、额度与分组、运营后台；下游 OpenAI / Anthropic / Gemini 三协议，上游 80 种渠道类型，单二进制零 CGO。
- GitHub · Repository created · First archived
Folkbench/folkbench ↗
Folkbench 是一个可信的 AI 中转站评测与服务目录，按模型比较可用率、响应速度、价格、隐私与运营证据
- GitHub · Repository created · First archived
Sarrera/sarrera ↗
"Building Sarrera: Self-Hosted Enterprise AI Inference Gateway with RBAC, Token Quotas & Telemetry"
- GitHub · Repository created · First archived
IuCC123/CLIProxyAPI-Rust ↗
Your Claude, ChatGPT and Gemini subscriptions as one fast API. A single Rust binary with OpenAI, Anthropic and Gemini compatible endpoints, WebSockets and a built-in dashboard.
- Hacker News · Posted on Hacker News · First archived
Causeval – statistically rigorous, causal evaluation for LLM apps ↗
Hacker News discussion.
- arXiv · Published · First archived
Event History Over Scale: Compact Transformers for Low-Latency Limit Order Book Forecasting ↗
Short-horizon price-trend prediction from limit order books in equity and intraday electricity markets requires models that combine predictive quality with low single-sample latency and a small serialized model size to keep pace with rapid and continuous market updates. We introduce MBOFormer, a 7,203-parameter causal transformer, and MBOFusion, a 14,371-parameter extension with a slow temporal-context branch. Both models process market-by-order (level-3) histories of individual order submissions, cancellations, and executions. We compare them with level-2-based baselines that process sampled…
- GitHub · Repository created · First archived
zsxm1998/awesome-perception-aware-rlvr ↗
Unified reproductions, benchmarking & evaluation for perception-aware RLVR and OPD in VLMs. 18 methods · 30+ benchmarks · Official code of CGPO (ACM MM 2026 Oral).
- GitHub · Repository created · First archived
ShengjieJin/ReSAIL ↗
Official implementation of “ReSAIL: Mitigating Collapse in Iterative Agent Self-Distillation”
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Language models
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.