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📰 NEWS
"I've been building
Abliterlitics, an open-source abliteration forensics toolkit. The idea is straightforward: take the same base model, compare the different abliteration techniques others have applied, then measure what actually changed using benchmarks..."
🔬 RESEARCH
via Arxiv
👤 Rui Wen, Mark Russinovich, Andrew Paverd et al.
📅 2026-05-14
⚡ Score: 7.7
"Backdoor attacks pose a serious security threat to large language models (LLMs), which are increasingly deployed as general-purpose assistants in safety- and privacy-critical applications. Existing LLM backdoors rely primarily on content-based triggers, requiring explicit modification of the input t..."
📰 NEWS
"Two Anthropic lines that frame the whole problem:
*"Long sessions with irrelevant context can reduce performance." (*
*source**)*
*"If you've corrected Claude more than twice on the same issue in one session, the context is cluttered with failed app..."
📰 NEWS
"If your agent browses the web, reads emails, or pulls from a database — any of that content can contain hidden instructions that hijack it.
This isn’t theoretical. It’s happening in production right now. A webpage footer tells your agent to forward credentials. An email signature tells it to ignore..."
🔬 RESEARCH
via Arxiv
👤 Karthik Raghu Iyer, Yazdan Jamshidi, Nicholas Bray et al.
📅 2026-05-14
⚡ Score: 7.3
"We introduce a reusable framework for auditing whether LLM attack benchmarks collectively cover the threat surface: a 4$\times$6 Target $\times$ Technique matrix grounded in STRIDE, constructed from a 507-leaf taxonomy -- 401 data-populated and 106 threat-model-derived leaves -- of inference-time at..."
🔬 RESEARCH
via Arxiv
👤 Pratinav Seth, Vinay Kumar Sankarapu
📅 2026-05-14
⚡ Score: 7.3
"This position paper argues that behavioural assurance, even when carefully designed, is being asked to carry safety claims it cannot verify. AI governance frameworks enacted between 2019 and early 2026 require reviewable evidence of properties such as the absence of hidden objectives, resistance to..."
🔬 RESEARCH
via Arxiv
👤 Saisab Sadhu, Pratinav Seth, Vinay Kumar Sankarapu
📅 2026-05-14
⚡ Score: 7.2
"Standard unlearning evaluations measure behavioral suppression in full precision, immediately after training, despite every deployed language model being quantized first. Recent work has shown that 4-bit post-training quantization can reverse machine unlearning; we show this is not a tuning artefact..."
📰 NEWS
"I've been digging into Meta's SAM 2 (Segment Anything in Images & Videos) and wrote up a detailed technical overview with some original analysis on its memory design.
**Quick summary of SAM 2:**
* Unified model for promptable image + video segmentation
* Streaming memory architecture with a me..."
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🔬 RESEARCH
via Arxiv
👤 Shang Zhou, Wenhao Chai, Kaiyuan Liu et al.
📅 2026-05-14
⚡ Score: 7.1
"Test-time compute scaling is a primary axis for improving LLM reasoning. Existing methods primarily scale depth by extending a single reasoning trace. Scaling breadth by sampling multiple candidates in parallel is straightforward, but introduces a selection bottleneck: choosing the best candidate wi..."
📰 NEWS
"paid for both since January. tracked which one I actually used per task type. sharing because most comparison posts are tribal and I think the picture is more boring than people make it.
for writing (longform, analysis, structured docs): claude wins. opus 4.7 and sonnet 4.6 both better than gpt-5 a..."
🔬 RESEARCH
via Arxiv
👤 Zhengxi Lu, Zhiyuan Yao, Zhuowen Han et al.
📅 2026-05-14
⚡ Score: 7.0
"Reinforcement learning (RL) has emerged as a central paradigm for post-training LLM agents, yet its trajectory-level reward signal provides only coarse supervision for long-horizon interaction. On-Policy Self-Distillation (OPSD) complements RL by introducing dense token-level guidance from a teacher..."
🔬 RESEARCH
via Arxiv
👤 Ryan Wei Heng Quek, Sanghyuk Lee, Alfred Wei Lun Leong et al.
📅 2026-05-14
⚡ Score: 6.9
"Large language models (LLMs) achieve strong performance across a wide range of tasks, but remain frozen after pretraining until subsequent updates. Many real-world applications require timely, domain-specific information, motivating the need for efficient mechanisms to incorporate new knowledge. In..."
🔬 RESEARCH
via Arxiv
👤 Md Tahmid Rahman Laskar, Xue-Yong Fu, Seyyed Saeed Sarfjoo et al.
📅 2026-05-14
⚡ Score: 6.8
"Voice agents increasingly require reliable tool use from speech, whereas prominent tool-calling benchmarks remain text-based. We study whether verified text benchmarks can be converted into controlled audio-based tool calling evaluations without re-annotating the tool schema and gold labels. Our dat..."
🔬 RESEARCH
via Arxiv
👤 Minghao Guo, Qingyue Jiao, Zeru Shi et al.
📅 2026-05-14
⚡ Score: 6.8
"Long-term agent memory is increasingly multimodal, yet existing evaluations rarely test whether agents preserve the visual evidence needed for later reasoning. In prior work, many visually grounded questions can be answered using only captions or textual traces, allowing answers to be inferred witho..."
🔬 RESEARCH
via Arxiv
👤 Xiaohua Zhan, Kazuki Egashira, Robin Staab et al.
📅 2026-05-14
⚡ Score: 6.8
"LLM quantization has become essential for memory-efficient deployment. Recent work has shown that quantization schemes can pose critical security risks: an adversary may release a model that appears benign in full precision but exhibits malicious behavior once quantized by users. However, existing q..."
🔬 RESEARCH
via Arxiv
👤 Ziyin Zhang, Zihan Liao, Hang Yu et al.
📅 2026-05-14
⚡ Score: 6.7
"The development of high-quality text embeddings is increasingly drifting toward an exclusionary future, defined by three critical barriers: prohibitive computational costs, a narrow linguistic focus that neglects most of the world's languages, and a lack of transparency from closed-source or open-we..."
🔬 RESEARCH
via Arxiv
👤 Guangyu Feng, Huanzhi Mao, Prabal Dutta et al.
📅 2026-05-14
⚡ Score: 6.6
"Function calling, also known as tool use, is a core capability of modern LLM agents but is typically constrained by synchronous execution semantics. Under these semantics, LLM decoding is blocked until each function call completes, resulting in increasing end-to-end latency. In this work, we introdu..."
🔬 RESEARCH
via Arxiv
👤 Will Schwarzer, Scott Niekum
📅 2026-05-14
⚡ Score: 6.6
"Estimating how often an ML model will fail at deployment scale is central to pre-deployment safety assessment, but a feasible evaluation set is rarely large enough to observe the failures that matter. Jones et al. (2025) address this by extrapolating from the largest k failure scores in an evaluatio..."
🔬 RESEARCH
via Arxiv
👤 Renning Pang, Tian Lan, Leyuan Liu et al.
📅 2026-05-14
⚡ Score: 6.5
"Large language model (LLM) based multi-turn dialogue systems often struggle to track dependencies across non-adjacent turns, undermining both consistency and scalability. As conversations lengthen, essential information becomes sparse and is buried in irrelevant context, while processing the entire..."
🔬 RESEARCH
via Arxiv
👤 Shashwat Goel, Nikhil Chandak, Arvindh Arun et al.
📅 2026-05-14
⚡ Score: 6.5
"AI agents are being increasingly deployed in dynamic, open-ended environments that require adapting to new information as it arrives. To efficiently measure this capability for realistic use-cases, we propose building grounded simulations that replay real-world events in the order they occurred. We..."
📰 NEWS
"I kept seeing inference-speed claims for these models and wanting an apples-to-apples comparison on the hardware I actually have. So I built a harness and a public page that dumps every run as YAML.
The dataset: 55 runs, three rigs, five backends (rocm, vulkan, cpu, cuda, vllm-cuda), models from 0."
📰 NEWS
"Llama.cpp has an issue with "--split-mode tensor", you'll get great results but it only supports non-quantized KV caches, for this very reason a lot of people decide to go with a healthy sized KV cache and ignore tensor parallelism.
I've had a stab at fixing the issue here - [
https://git..."
📰 NEWS
"Anthropic recently published their
harness design for long-running apps — a multi-agent architecture inspired by GANs where a Generator builds code and an Evaluator critiques it in a loop.
I built my own version using Kiro C..."
📰 NEWS
"External link discussion - see full content at original source."
🔬 RESEARCH
via Arxiv
👤 Ziyu Guo, Rain Liu, Xinyan Chen et al.
📅 2026-05-14
⚡ Score: 6.1
"Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising direction in the field. A straightforward approach is to directly generate images via unified models during reasoning, but this is computationally expensive and architecturally non-trivial. Recent alterna..."
🔬 RESEARCH
via Arxiv
👤 Ellwil Sharma, Arastu Sharma
📅 2026-05-14
⚡ Score: 6.1
"Scaling Scientific Machine Learning (SciML) toward universal foundation models is bottlenecked by negative transfer: the simultaneous co-training of disparate partial differential equation (PDE) regimes can induce gradient conflict, unstable optimization, and plasticity loss in dense neural operator..."