Every paper checked — nothing hidden
All papers
Every paper checked for brief #4 of 12–19 Oct 2026 — nothing is hidden. Brief papers first.
All17,313In brief24More (on-topic)3,333Not relevant13,754Not assessed87Older352Could not confirm93Blogs with no paper266All blogs284
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| VIDEORESEARCHER: SELF-IMPROVING TOOL DESIGN Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 18:08 | Waiting for check | |
| ACTION MODEL WITH FUTURE MOTION PREDICTION Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 18:08 | Waiting for check | |
| ForeWarn: Risk-Adaptive Inference for Proactive Safety ... Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 18:08 | Waiting for check | |
| Change the Image, Change the Answer? Predicting VLM ... Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 18:08 | Waiting for check | |
| CHRONOREPLAY: ONE ANSWER INTERFACE IS NOT ... Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 18:08 | Waiting for check | |
| UNIFYING HETEROGENEOUS VISUAL REASONING IN ... Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 18:08 | Waiting for check | |
| LLM-Based Pairwise Judgment for Math Item Parameter ... Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via acl · 12 Oct, 18:08 | Waiting for check | |
| How Long Reasoning Chains Influence LLMs’ Judgment of Answer Factuality - ACL Anthology Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via acl · 12 Oct, 18:08 | Waiting for check | |
| All Prompts Are Created Equal? Evaluating Robustness of LLM Judges Against Non-Adversarial Prompt Variations - ACL Anthology Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via acl · 12 Oct, 18:08 | Waiting for check | |
| Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion Evaluation - ACL Anthology Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via acl · 12 Oct, 18:08 | Waiting for check | |
| Can LLMs Judge Pedagogy? Assessing Conversational AI ... Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via acl · 12 Oct, 18:08 | Waiting for check | |
| HOW LLMS ADAPT TO HIDDEN EVALUATION RULES Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via openreview · 12 Oct, 18:08 | Waiting for check | |
| Aggregate vs. Personalized Judges in Business Idea Evaluation: Evidence from Expert Disagreement - ACL Anthology Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via acl · 12 Oct, 18:08 | Waiting for check | |
| PROBE: PROcess-Based BEnchmark for Hallucination Detection - ACL Anthology Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via acl · 12 Oct, 18:08 | Waiting for check | |
| TripTide: A Benchmark for Adaptive Travel Planning under Disruptions - ACL Anthology Summary pending (next check). Could not confirmPreprint | LLM evaluation and benchmarks via acl · 12 Oct, 18:08 | Waiting for check | |
| Proceedings of the 1st International Workshop on PromptOps and Vibe Coding The paper outlines a vision for trace-guided automated program repair to address context bloat and reasoning limitations. Peer-reviewed | Computer vision for industrial applications via acm · 12 Oct, 18:08 | Not relevant Focuses on automated program repair, not industrial computer vision. | |
| Proceedings of the 1st International Workshop on PromptOps and Vibe Coding The paper outlines a vision for trace-guided automated program repair to address context bloat and reasoning limitations. Peer-reviewed | LLM evaluation and benchmarks via acm · 12 Oct, 18:08 | Not relevant Focuses on automated program repair rather than LLM benchmarks or evaluation methods. | |
| SWIFTAD: VISIBILITY-GUIDED HIERARCHICAL TO Summary pending (next check). Could not confirmPreprint | Computer vision for industrial applications via openreview · 12 Oct, 18:08 | Waiting for check | |
| Stability Analysis of Time-varying Networks Based on Persistent Homology The paper proposes a persistent homology metric to evaluate the topological and structural stability of time-varying social networks. Peer-reviewedOlder paper (2026) Older paper (2026) — discussed this week | AI agents via acm · 12 Oct, 18:07 | Not relevant Studies dynamic social networks, not LLM-based autonomous agents. | |
| Modification Of YOLOv11n Algorithm Architecture to ... Summary pending (next check). Could not confirmPreprint | AI agents via ieee · 12 Oct, 18:07 | Waiting for check | |
| typed amplitude composition for reusable inference ... Summary pending (next check). Could not confirmPreprint | AI agents via openreview · 12 Oct, 18:07 | Waiting for check | |
| Retrieval-Augmented Generation for Large Language Models: A Survey The paper reviews retrieval-augmented generation paradigms and examines frameworks across retrieval, generation, and modular components. PreprintOlder paper (2023) Older paper (2023) — discussed this week | AI agents via missed · 12 Oct, 17:43 | Not relevant Paper focuses on RAG paradigms, not autonomous planning agents. | |
| Retrieval-Augmented Generation for Large Language Models: A Survey The paper reviews retrieval-augmented generation paradigms and examines frameworks across retrieval, generation, and modular components. PreprintOlder paper (2023) Older paper (2023) — discussed this week | LLMs for code via missed · 12 Oct, 17:43 | Not relevant Focuses on knowledge retrieval and general LLMs, not coding. | |
| Retrieval-Augmented Generation for Large Language Models: A Survey The paper reviews retrieval-augmented generation paradigms and examines frameworks across retrieval, generation, and modular components. PreprintOlder paper (2023) Older paper (2023) — discussed this week | LLM evaluation and benchmarks via missed · 12 Oct, 17:43 | Not relevant Surveys RAG methods generally rather than proposing LLM benchmarks. | |
| Retrieval-Augmented Generation for Large Language Models: A Survey The paper reviews retrieval-augmented generation paradigms and examines frameworks across retrieval, generation, and modular components. PreprintOlder paper (2023) Older paper (2023) — discussed this week | Small and efficient models via missed · 12 Oct, 17:43 | Not relevant Focuses on RAG retrieval, not model compression or efficiency. | |
| Retrieval-Augmented Generation for Large Language Models: A Survey The paper reviews retrieval-augmented generation paradigms and examines frameworks across retrieval, generation, and modular components. PreprintOlder paper (2023) Older paper (2023) — discussed this week | Multimodal models via missed · 12 Oct, 17:43 | Not relevant Covers text retrieval-augmented generation rather than multimodal models. | |
| Retrieval-Augmented Generation for Large Language Models: A Survey The paper reviews retrieval-augmented generation paradigms and examines frameworks across retrieval, generation, and modular components. PreprintOlder paper (2023) Older paper (2023) — discussed this week | AI safety and reliability in deployment via missed · 12 Oct, 17:43 | Not relevant Mentions hallucination briefly but focuses on standard RAG architecture. | |
| SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models The paper presents an 8-bit weight and activation post-training quantization technique that migrates activation outliers to weights. Peer-reviewedOlder paper (2022) Older paper (2022) — discussed this week | AI safety and reliability in deployment via blog · 12 Oct, 16:38 | Not relevant Deals with inference efficiency and quantization rather than AI safety or reliability in deployment. | |
| SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models The paper presents an 8-bit weight and activation post-training quantization technique that migrates activation outliers to weights. Peer-reviewedOlder paper (2022) Older paper (2022) — discussed this week | AI agents via blog · 12 Oct, 16:38 | Not relevant Focuses on post-training quantization for LLMs rather than autonomous agent systems or planning. | |
| SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models The paper presents an 8-bit weight and activation post-training quantization technique that migrates activation outliers to weights. Peer-reviewedOlder paper (2022) Older paper (2022) — discussed this week | Retrieval-augmented generation (RAG) via blog · 12 Oct, 16:38 | Not relevant Addresses model weight and activation quantization rather than retrieval-augmented generation. | |
| SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models The paper presents an 8-bit weight and activation post-training quantization technique that migrates activation outliers to weights. Peer-reviewedOlder paper (2022) Older paper (2022) — discussed this week | LLMs for code via blog · 12 Oct, 16:38 | Not relevant Presents general LLM quantization without any focus on coding assistants or software engineering. | |
| SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models The paper presents an 8-bit weight and activation post-training quantization technique that migrates activation outliers to weights. Peer-reviewedOlder paper (2022) Older paper (2022) — discussed this week | LLM evaluation and benchmarks via blog · 12 Oct, 16:38 | Not relevant Proposes an inference acceleration algorithm rather than benchmark creation or evaluation methodology. | |
| SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models The paper presents an 8-bit weight and activation post-training quantization technique that migrates activation outliers to weights. Peer-reviewedOlder paper (2022) Older paper (2022) — discussed this week | Multimodal models via blog · 12 Oct, 16:38 | Not relevant Focuses on quantizing language models rather than multimodal architectures. | |
| AlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation The paper introduces a post-training mixed-precision quantization method using GPU-compatible 2D weight tiles for efficient inference. PreprintOlder paper (2026) Older paper (2026) — discussed this week | LLMs for code via blog · 12 Oct, 16:38 | Not relevant Applies quantization to general LLMs without specific focus on software engineering or code generation. | |
| AlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation The paper introduces a post-training mixed-precision quantization method using GPU-compatible 2D weight tiles for efficient inference. PreprintOlder paper (2026) Older paper (2026) — discussed this week | Multimodal models via blog · 12 Oct, 16:38 | Not relevant Evaluates text language models rather than multimodal vision-language or audio systems. | |
| AlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation The paper introduces a post-training mixed-precision quantization method using GPU-compatible 2D weight tiles for efficient inference. PreprintOlder paper (2026) Older paper (2026) — discussed this week | AI safety and reliability in deployment via blog · 12 Oct, 16:38 | Not relevant Focuses strictly on inference speedup and compression rather than safety, robustness, or reliability. | |
| AlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation The paper introduces a post-training mixed-precision quantization method using GPU-compatible 2D weight tiles for efficient inference. PreprintOlder paper (2026) Older paper (2026) — discussed this week | AI agents via blog · 12 Oct, 16:38 | Not relevant Focuses on post-training quantization hardware kernels rather than multi-step agent planning or tool use. | |
| AlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation The paper introduces a post-training mixed-precision quantization method using GPU-compatible 2D weight tiles for efficient inference. PreprintOlder paper (2026) Older paper (2026) — discussed this week | LLM evaluation and benchmarks via blog · 12 Oct, 16:38 | Not relevant Presents a compression algorithm rather than benchmarking methodology or LLM evaluation frameworks. | |
| AlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation The paper introduces a post-training mixed-precision quantization method using GPU-compatible 2D weight tiles for efficient inference. PreprintOlder paper (2026) Older paper (2026) — discussed this week | Retrieval-augmented generation (RAG) via blog · 12 Oct, 16:38 | Not relevant Proposes a quantization method, not a retrieval-augmented generation or grounding system. | |
| TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones The paper presents an open-source multimodal language model combining a small language backbone with vision encoders for efficient inference. PreprintOlder paper (2023) Older paper (2023) — discussed this week | AI agents via blog · 12 Oct, 16:38 | Not relevant Focuses on compact vision-language model architecture rather than autonomous planning or agent tool use. | |
| TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones The paper presents an open-source multimodal language model combining a small language backbone with vision encoders for efficient inference. PreprintOlder paper (2023) Older paper (2023) — discussed this week | Retrieval-augmented generation (RAG) via blog · 12 Oct, 16:38 | Not relevant Focuses on vision-language model pretraining and inference, not retrieval-augmented generation systems. | |
| TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones The paper presents an open-source multimodal language model combining a small language backbone with vision encoders for efficient inference. PreprintOlder paper (2023) Older paper (2023) — discussed this week | LLMs for code via blog · 12 Oct, 16:38 | Not relevant Focuses on image captioning and visual question answering rather than code generation or software engineering. | |
| TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones The paper presents an open-source multimodal language model combining a small language backbone with vision encoders for efficient inference. PreprintOlder paper (2023) Older paper (2023) — discussed this week | Computer vision for industrial applications via blog · 12 Oct, 16:38 | Not relevant Targets general vision-language tasks like VQA rather than industrial inspection or defect detection. | |
| TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones The paper presents an open-source multimodal language model combining a small language backbone with vision encoders for efficient inference. PreprintOlder paper (2023) Older paper (2023) — discussed this week | LLM evaluation and benchmarks via blog · 12 Oct, 16:38 | Not relevant Presents a new model architecture rather than an evaluation framework or benchmark study. | |
| TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones The paper presents an open-source multimodal language model combining a small language backbone with vision encoders for efficient inference. PreprintOlder paper (2023) Older paper (2023) — discussed this week | AI safety and reliability in deployment via blog · 12 Oct, 16:38 | Not relevant Does not evaluate or develop safety, robustness, guardrails, or alignment mechanisms. | |
| Judge Reliability Harness: Stress Testing the Reliability of LLM Judges The paper introduces an open-source library to construct validation suites that stress test the reliability of LLM judges. PreprintOlder paper (2026) Older paper (2026) — discussed this week | AI agents via blog · 12 Oct, 16:38 | Not relevant Focuses on testing the reliability of LLM judges rather than designing autonomous planning agents. | |
| AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges The paper provides a conceptual taxonomy and review distinguishing task-specific AI agents from collaborative agentic AI systems. Peer-reviewedOlder paper (2025) Older paper (2025) — discussed this week | LLM evaluation and benchmarks via blog · 12 Oct, 16:38 | Not relevant Focuses on architectural and conceptual classification of agents rather than evaluation benchmarks or methodology. | |
| AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges The paper provides a conceptual taxonomy and review distinguishing task-specific AI agents from collaborative agentic AI systems. Peer-reviewedOlder paper (2025) Older paper (2025) — discussed this week | AI safety and reliability in deployment via blog · 12 Oct, 16:38 | Not relevant Offers a taxonomy of agent architectures rather than analyzing safety, alignment, or red-teaming. | |
| Front end wafer Scanning Infra Red Depolarization (SIRD) measurement correlation to back end wafer backside finishing Examines scanning infrared depolarization measurements for defect monitoring and quality control across semiconductor wafer processing stages. Peer-reviewedOlder paper (2014) Older paper (2014) — discussed this week | AI safety and reliability in deployment via ieee · 12 Oct, 16:30 | Not relevant Physical semiconductor manufacturing paper unrelated to AI safety or reliability. | |
| Four Decades of Automated Driving R&D: Evolution, Challenges, Future Directions Reviews forty years of automated driving system research, focusing on safety assurance and verification challenges. Peer-reviewed | AI safety and reliability in deployment via ieee · 12 Oct, 16:30 | Not relevant Reviews overall automated vehicle engineering and safety validation rather than AI model deployment safety. | |
| White Paper - Example Applications of IEEE Std 2846-2022 to Formal Safety-Related Models | IEEE Standard | IEEE Xplore Summary pending (next check). Could not confirmPreprint | AI safety and reliability in deployment via ieee · 12 Oct, 16:30 | Waiting for check | |
| Command and Control (C2) to enable multi-domain teaming of unmanned vehicles (UxVs) Summary contains IEEE Xplore webpage boilerplate rather than paper content on command and control for unmanned vehicles. Not a research paperPeer-reviewedOlder paper (2017) Older paper (2017) — discussed this week | AI safety and reliability in deployment via ieee · 12 Oct, 16:30 | Not relevant Standard IEEE conference metadata page without technical content on AI safety or reliability. | |
| Evaluating AI-Based Unit Testing Tools: A Focus on Usability, Reliability, and Integration Presents an empirical comparison evaluating usability, reliability, and CI/CD integration challenges of AI-based unit testing tools. Peer-reviewedOlder paper (2025) Older paper (2025) — discussed this week | AI safety and reliability in deployment via ieee · 12 Oct, 16:30 | Not relevant Studies AI tools for software unit testing rather than AI model safety, guardrails, or hallucination mitigation. | |
| ARCHITECTURAL SAMPLING: TEST-TIME SCALING Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 16:30 | Waiting for check | |
| CAN VISUAL GENERATION EXPAND WHAT UNIFIED ... Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 16:30 | Waiting for check | |
| RobustVisRAG: Causality-Aware Vision-Based Retrieval- ... Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 16:30 | Waiting for check | |
| HIERARCHICAL COMPRESSION OF VISION-LANGUAGE ... Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 16:30 | Waiting for check | |
| TIMAGE:AGENERATIVE TEXT-IN-IMAGE PARADIGM Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 16:30 | Waiting for check | |
| VISDOCAGENTBENCH: BENCHMARKING AGENTS Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 16:30 | Waiting for check | |
| RENDERING AS SUPERVISION: EXACT-GEOMETRY ... Summary pending (next check). Could not confirmPreprint | Multimodal models via openreview · 12 Oct, 16:30 | Waiting for check |
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