Hallucination

Timeline

1. Oct 19, 2026 · Model release · 2 sources
   Nemotron 3.5 Bolt, Muse Spark Open, and a Fast LFM2.5 24B
   Nemotron 3.5, with a closer look at Bolt and its “native 2-bit” quantization
2. Oct 17, 2026 · Policy / regulation · 1 source
   EpochGo: Local-first multi-agent AutoML engine using offline Ollama LLMs and deterministic Scikit-Learn pipelines [P]
   I wanted to share EpochGo, an open-source, local-first AutoML system built to tackle two major bottlenecks in applied machine learning:
3. Oct 16, 2026 · Research paper · 1 source
   Not Every Mention Is a Claim: Rethinking Object Hallucination Detection in Vision-Language Models
   Object hallucination in vision-language models (VLMs) is usually measured by checking each object a caption names against the image.
4. Oct 16, 2026 · Research paper · 1 source
   Self-Reflective Chain-of-Thought (SRCoT): Evidence-Based Text Generation via a Closed-Loop Retrieve--Reflect--Revise Pipeline on Edge LLMs
   We introduce Self-Reflective Chain-of-Thought (SRCoT), a modular architecture that organizes generation as a closed Retrieve--Reflect--Revise loop.
5. Oct 16, 2026 · Research paper · 1 source
   Preventing Data Hallucinations in Agentic AI for Optical Network Troubleshooting
   An agentic AI system for automated troubleshooting in optical communication networks is demonstrated that integrates data references into the agent architecture to prevent data hallucinations, improving the interpretability and trustworthiness of root-cause identification and reasoning.
6. Oct 16, 2026 · Research paper · 1 source
   Characterising and Analysing Retrieval-Augmented Generation Techniques
   The advent of Large Language Models (LLMs) across many application domains has increased the need for Retrieval-Augmented Generation (RAG) to reduce hallucinations and improve LLM performance.
7. Oct 16, 2026 · Research paper · 1 source
   MAS-Bai: Linguistically Informed Adaptive Multi-Agent Translation for Bowen-Script Bai
   We propose MAS-Bai, a linguistically informed adaptive multi-agent framework for Bowen-script Bai-Chinese translation.
8. Oct 16, 2026 · Research paper · 1 source
   What LLMs Do in the Shadows: Reading Context Reliance from the Unembedding Dark Space
   In this work, we show that context reliance can be estimated by projecting hidden states onto the dark space - directions that compose weakly with the unembedding matrix.
9. Oct 16, 2026 · Product / feature launch · 1 source
   Liquid AI Releases d1-ultra: A Multimodal Decision Model That Scores 65 on the AA Decision Index
   Liquid AI has released d1-ultra, its most capable decision model to date.
10. Oct 16, 2026 · Research paper · 1 source
    UniField++: A Unified Agentic Framework with Loop Reasoning for MRI Field-Strength Enhancement
    To address these challenges, we propose UniField++, a two-agent framework that unifies enhancement tasks across multiple field-strength transitions, including 64mT-to-3T and 3T-to-7T.
11. Oct 16, 2026 · Research paper · 1 source
    NL2SQL with Iterative Self-Refinement
    We introduce a multi-agent, persona-driven NL2SQL framework that combines (1) domain relevance detection, (2) schema-grounded knowledge construction, (3) KPI-aware SQL synthesis, (4) syntax-level self-repair using sqlite execution feedback, and (5) semantic consistency checking via SQL-to-NL reverse engineering.
12. Oct 16, 2026 · Research paper · 1 source
    ANCHOR: Audio-Visually Grounded Chain-of-Thought Reasoning Benchmark
    We introduce ANCHOR, a benchmark and evaluation framework for measuring grounded-rationale alignment in multimodal reasoning, comprising 2,319 videos and 8,272 question-answer pairs with structured reasoning traces, temporal evidence, spatial bounding boxes, and salient audio cues, including a human-refined test set of 224 videos and 975 question-answer pairs.
13. Oct 16, 2026 · Research paper · 1 source
    Bengali Hallucination Detection with Retrieval and Programs: A System Study
    We present and characterize an inference-only system that combines response-conditioned query rewriting, hybrid retrieval, and task-specific language-model judging.
14. Oct 15, 2026 · Research paper · 1 source
    LEMON: Equivariant Learning over Attention Maps for Zero-Shot Misbehavior Monitoring on New LLMs
    In this work, we characterize those cross-model attention mismatches as algebraic symmetries and use geometric deep learning principles to build LEMON (Language-model Equivariant MOnitoring Network) an online graph neural network-based monitor, whose predictions are invariant under these symmetries.
15. Oct 15, 2026 · Research paper · 1 source
    Measuring Mechanistic Uncertainty in Large Language Models via Causal Robustness
    Across three open-source models and five question-answering datasets, we show incorrect and uncertain responses exhibit smaller margins, indicating greater sensitivity to internal interventions, and the causal robustness margin complements conventional output-based uncertainty methods.
16. Oct 15, 2026 · Research paper · 1 source
    When Does Uncertainty Measure RAG Hallucination Risk?
    Uncertainty can measure hallucination risk in retrieval-augmented generation (RAG), but only when retrieved evidence constrains the answer.
17. Oct 15, 2026 · Research paper · 1 source
    Shift-Reliance Alignment: Ranking Vision-Language Models by the Cues They Trust
    For yes/no questions about object presence, we show that the best model for a target domain can be predicted without running any candidate on that domain, given 650 to 1,200 labeled target items that calibrate a detector.
18. Oct 15, 2026 · Research paper · 1 source
    alkhder at ImageEval 2026 Shared Tasks: Constrained Selection and Rotation-Averaged Logit Scoring for Multimodal Hallucination Detection
    We describe our submission to Subtask 1b of ImageEval 2026.
19. Oct 15, 2026 · Opinion / analysis · 1 source
    Prompt tips from Anthropic
    Trying something different today, because why not?!
20. Oct 15, 2026 · Research paper · 1 source
    MedPAO-VL: Interpretable and Protocol-Compliant Agent for Structured Radiology Report Generation
    We present MedPAO-VL, a multimodal agent that shifts the paradigm from monolithic generation to explainable, iterative, protocol-compliant structured report generation.
21. Oct 15, 2026 · Model release · 12 sources
    Gemini 4 Argon: Built to solve your hardest problems
    Gemini 4 Argon: Built to solve your hardest problems
22. Oct 15, 2026 · Research paper · 1 source
    DialFork: Going Beyond Factuality to Evaluate Procedural Hallucination in Conversational Agents
    We introduce DialFork, the first benchmark to measure this failure mode on raw dialogue text.
23. Oct 15, 2026 · Research paper · 1 source
    FlashAttention with Statistics: Low-Overhead Attention Features for Compact Hallucination Detectors
    Large language models can produce fluent answers that the supplied context does not support.
24. Oct 15, 2026 · Research paper · 1 source
    Tool-Augmented Large Language Models for Reliable Medical Calculation from Patient Notes
    To address these limitations, we propose a tool-augmented LLM framework for reliable medical calculation from patient notes.
25. Oct 15, 2026 · Research paper · 2 sources
    Plan or Retrieve First? A Scale Study of Tool Discovery Architectures
    Tool-augmented LLM agents discover relevant APIs from large registries before planning execution, yet finite context windows prohibit injecting all tool definitions into a single prompt.
26. Oct 14, 2026 · Opinion / analysis · 1 source
    Sabi-Noema: A capability and efficiency focused fine-tune of Qwen 3.8 27B
    tl;dr: new qwen finetune that simultaneously pushes the frontiers of small model capability and reasoning efficiency.
27. Oct 14, 2026 · Research paper · 1 source
    From Unreliable to Usable: Decomposing Failure Modes and Confidence Signals in LLM Entity Extraction - Evidence from Cyber Threat Intelligence
    Audits of large language model (LLM) extraction from full-length documents report severe unreliability, leaving two questions open: what the failures actually consist of, and whether confidence signals can turn unreliable output into usable output.
28. Oct 14, 2026 · Research paper · 1 source
    Predicting Unseen Scientific Interactions: Conditional Flow Models Hallucinate Non-Additive Effects
    Conditional generative models are increasingly used for scientific prediction beyond the direct training support.
29. Oct 14, 2026 · Research paper · 1 source
    Gray-Box Hallucination Detection in LLMs with Token Identities
    We introduce GURI (Gray-box Uncertainty Representations with Identity), a lightweight gray-box hallucination detector that combines candidate-token probabilities with per-token vector identifiers.
30. Oct 14, 2026 · Research paper · 1 source
    Mitigating Video Hallucinations via Attention-Guided Representation Perturbation
    We introduce Attention-guided Representation Perturbation for Contrastive Decoding (ARP-CD), a training-free framework for constructing contrastive negatives directly in representation space.

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