Every paper checked — nothing hidden
All papers
Every paper checked in the week of 12–18 Oct 2026 · Multimodal models — nothing is hidden. Brief papers first.
All1,924In brief3More (on-topic)553Not relevant1,333Not assessed19Older33Could not confirm19Blogs with no paper11All blogs13
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| bharatSetu: a 1M x 22 bridge for indic translation The paper introduces a synthetic parallel translation dataset covering 22 scheduled Indic languages aligned via English pivot sentences. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses purely on text translation, not multimodal text-and-image data. | |
| Agent Sociodrama: Social-Dynamics-Guided Persona Recasting for LLM Agent Teams The paper introduces a framework to model evolving social dynamics and update personas in multi-agent language model teams. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text-based persona interactions, not multimodal text-image systems. | |
| An Explainable System for Offensive Content Detection in Nastaliq Urdu: Corpus Curation, Transformer Benchmarking, and Word-Level Attribution The paper presents a Nastaliq Urdu comment corpus and evaluates transformer models with word-level attributions for offensive content detection. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses solely on text classification in Urdu, not multimodal models. | |
| Personalized LLM Recommendation with Semantic IDs: Autoregressive Beam Search vs. Multi-Token Prediction The paper compares single-head autoregressive beam search with parallel multi-token prediction for generating semantic IDs in recommendation systems. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on discrete semantic ID sequences, not multimodal text-image-video processing. | |
| Review Rarely Beats the Stronger Model: Separating Verification from Capability Transfer in LLM Pipelines The paper shows that LLM review pipelines rarely outperform the stronger model alone due to confirmation bias rather than true verification. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates text reasoning pipelines rather than multimodal vision-language models. | |
| The Anatomy of a Blind Spot: What an LLM Judge Must Be Shown, and How Much The paper tests what context judge models require, showing that omitting source constraints degrades the quality of iterative feedback loops. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Studies text evaluation benchmarks rather than multimodal vision-language models. | |
| Unfair and Unsafe: Everyday Bias Triggers Emergent Misalignment The paper finds that fine-tuning language models on polite text containing demographic stereotypes triggers broader safety and truthfulness failures on unrelated tasks. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Investigates text-only fine-tuning and safety rather than multimodal models. | |
| Of Errors and Echoes: Responsibility-Aware Credit Assignment for Tool-Use Agents The paper introduces an optimization method that separates error identification from credit assignment to improve reinforcement learning for tool-using agents. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Does not involve vision, video, or multimodal processing. | |
| When Agents Talk, Secrets Travel: Topology-Driven Leakage and Recipient-Conditioned Sanitization in Multi-Agent LLM Systems The paper investigates privacy leakage caused by multi-agent network topologies and proposes an execution sanitizer conditioned on recipient identity. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Studies textual agent communications rather than vision-language multimodal models. | |
| Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems The paper presents a runtime auditor that predicts execution failures in multi-agent systems using loss-guided perturbations to identify hard failure cases. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Audits multi-agent execution prefixes without multimodal image or video integration. | |
| GUIDE: Computationally Augmented Consensus for Trustworthy Clinical Practice Guidelines This paper introduces GUIDE, a multi-agent copilot system that assists clinicians in drafting and updating evidence-based medical practice guidelines. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on medical literature text, not multimodal models. | |
| PID-Gated Continual Prompt Adaptation Under Noisy Feedback This paper proposes control-inspired gates to decide when language model agents should adapt their prompts without absorbing noisy user feedback. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Studies prompt adaptation for text LLMs, not multimodal models. | |
| Query Your Way Out: Benchmarking Multi-Turn Knowledge Reasoning through Generalized Puzzle Solving This paper introduces the Active Probing Benchmark to evaluate multi-turn active questioning and specialized domain reasoning in language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates language reasoning without multimodal vision or audio components. | |
| Phantom Merge: When Your Large Language Model Agents Pick One but Tell You About Another This paper identifies and mitigates Phantom Merge, an error where language model agents bind retrieved facts to the wrong entity. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on textual agent reasoning, not multimodal data. | |
| MP-MNCA: Morphology-Prior Masked Neighbor Cross-Attention for Efficient Spatial Domain Identification This paper presents a cross-attention method with histological priors to improve training efficiency and convergence in spatial transcriptomics. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals with spatial transcriptomics data, not multimodal language models. | |
| Avoiding What Your Teacher Already Knows: Entity Familiarity for Deep-Search Distillation Measures teacher entity familiarity to filter out uninformative search trajectories when distilling deep-search capabilities into smaller agents. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text entity graphs, not multimodal models. | |
| Hardware-Friendly Token-Group Activation Quantization for Low-Bit Mamba Super-Resolution Presents an activation quantization method that groups tokens via pre-scan features to improve low-bit post-training quantization for Mamba super-resolution models. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on vision super-resolution quantization, not multimodal models. | |
| agent-risk: Risk Assessment for Changes to AI Agents Provides a framework for assessing risks of proposed changes to deployed AI agents by selectively replaying execution logs and saved states. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Does not deal with multimodal inputs or vision-language models. | |
| REVEAL: Reverse Engineering Agentic Latents from Frontier-Model Traces Extracts reusable local control signals from frontier model traces to guide smaller language model agents without extra target-model training. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on textual agent trajectories, not multimodal vision-language models. | |
| Explicitly Aligned Multi-View Breast Cancer Risk Prediction from Variable-Length Screening Histories Presents a breast cancer risk prediction framework that explicitly aligns longitudinal examinations across multiple mammography views. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Concerns medical image alignment rather than general multimodal language models. | |
| BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates Introduces a training-free Bayesian state-update framework to reduce error accumulation and representational drift in streaming 3D reconstruction models. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on geometric 3D reconstruction rather than multimodal vision-language models. | |
| RetroPlanner: Multi-Route Expansion and Multi-Objective Reasoning for LLM-Based Retrosynthesis Planning Proposes a multi-route retrosynthesis planner that evaluates synthesizability and cost across chemical reaction options. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Operates over text and molecular graphs, not multimodal vision-language models. | |
| ARMED: Adaptive Retrieval-Augmented Medication Recommendation Proposes an adaptive retrieval-augmented generation framework that dynamically expands clinical queries for medication recommendation. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on clinical text and tabular EHR history, not multimodal models. | |
| PATMT2: Two-stage domain adaptation for multilingual patent translation Evaluates a two-stage domain adaptation method for multilingual patent translation and analyzes failure modes in low-resource languages. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Operates strictly on patent text, not multimodal vision-language models. | |
| XAI-Guided Fourier Domain Generalisation for Pure-Simulation Sim-to-Real Deep Reinforcement Learning Develops an explainability-guided Fourier domain generalization framework to improve sim-to-real reinforcement learning for autonomous driving. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Covers vision-based RL policy transfer, not multimodal vision-language models. | |
| EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents Co-evolves the user simulator, environment tools, and rewards during training to improve interactive multi-turn language model agents. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals with user-agent text interactions, not multimodal vision-language models. | |
| PatTransBench: an ipc-stratified, multi-dimensional benchmark for patent machine translation evaluation Presents an evaluation benchmark and multi-dimensional protocol for patent machine translation across Chinese, English, Japanese, and Korean. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses strictly on text-based patent translation, not multimodal models. | |
| MixLID: Token-Level Language Identification in Mixed-Language Text Classifies languages at the token level across 111 language-script combinations in mixed-language and code-switched texts. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Addresses text-only language identification without multimodal inputs. | |
| SuPER-Mamba: Surprisal Prioritization for Extended-Context Routing in Mamba Improves long-context handling in Mamba state space models without retraining by using surprisal scores to guide state routing. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text sequence processing in state space models without multimodal components. | |
| Does a Hosted Decision Model Respect Irrelevant Alternatives? A Pre-Registered Test of Option-Set Dependence in Jev Tests a hosted decision model to show that adding irrelevant options systematically shifts output probability distributions between top candidates. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates text classification decision models without multimodal data. | |
| Audit Before You Distill: A Controlled Workflow for Reasoning Transfer into Compact Medical Language Models The paper analyzes the impact of teacher rationales before distilling medical reasoning capabilities into compact language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Examines text-based medical examination questions without any multimodal components. | |
| Growing to See: Efficient Pretraining of Self-Supervised Vision Transformers The paper investigates progressive depth growth during self-supervised vision transformer pretraining to improve downstream accuracy while reducing computation. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on self-supervised vision models, not multimodal models. | |
| Unsupervised Data Drift Monitoring for Deployed Deepfake Speech Detectors The paper proposes an unsupervised drift monitor using internal embedding distances to flag unfamiliar inputs in deployed deepfake speech detectors. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates audio speech detectors, not multimodal foundation models. | |
| A Scaled-Up Empirical Study of Syntactic Language Models The paper presents an empirical study evaluating syntactic language models at scales up to 1B parameters across linearizations and masks. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses solely on text syntactic modeling. | |
| Towards Cost-Efficient Video Dataset Construction with Large Language Models The paper presents an LLM-based metadata pre-screening method to filter candidate videos before downloading, reducing data curation costs. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Applies text LLMs to video metadata, not multimodal modeling. | |
| Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments The paper introduces a 30B tool-use model and an execution-grounded dataset to scale agentic tool supervision with verifiable environments. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Does not involve multimodal or vision models. | |
| SarcasTraps: Effect of Sarcasm on Turkish Hate Speech Detection The paper evaluates the impact of sarcasm on Turkish hate speech detection models using a targeted external test dataset. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Exclusively investigates text classification without any multimodal component. | |
| MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation The paper proposes a manifold-aware graph diffusion network to generate valid functional brain connectomes while capturing fine-grained geometric structure. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on neuroimaging connectomes rather than multimodal vision-language models. | |
| Understanding Personalization Gains in Whisper The paper studies low-rank adaptation in Whisper to evaluate whether transcription gains require group-specific adapters rather than pooled fine-tuning. Peer-reviewed | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses purely on audio/ASR adaptation rather than multimodal vision-language reasoning. | |
| Calibrated Typed Decisions for Entity, Relation, and Event Extraction Presents a unified encoder that jointly models type definitions and text for cross-domain entity, relation, and event extraction. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text extraction rather than multimodal or vision-language tasks. | |
| When LLM Agents See a Conflict but Still Proceed: Cross-Domain Dependencies in Network Slicing Shows that language agents often ignore identified cross-domain dependencies, causing unintended disruptive actions in network management. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Examines text-based network management intents, not multimodal models. | |
| The Format is the Filter: Scoring Format Fixes What an LLM Judge Can Express Demonstrates that the scoring format chosen for an evaluation model strongly restricts its expressive capacity and ranking reliability. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates text scoring formats, not multimodal models. | |
| Learning Perceptual Geometry of Natural Odor Mixtures from LLM-Derived Descriptors Uses language-model perceptual descriptions of complex chemical mixtures to predict perceived odor similarity from molecular composition. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Maps chemical mixtures to sensory space, not vision/speech multimodality. | |
| From Conceptual EneMonIE to an Executable Backend: A Modular Architecture for Energy Information Extractionand Grounded Question Answering The paper describes a modular software backend architecture for extracting energy domain information and answering grounded questions from web sources. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals with textual data and web metadata, not multimodality. | |
| StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions The paper introduces decision models that balance fast single-pass predictions with adaptive reasoning for uncertain cases using reinforcement learning. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text decision reasoning, not multimodal inputs. | |
| Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior The paper develops an approach to map AI semantic blind spots and evaluates the quality of distinct human ideas. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Covers text generation tasks, not vision-language or multimodal models. | |
| MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation The paper introduces a distribution-level evaluation metric for medical image segmentation to assess prediction sets without requiring paired ground-truth masks. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on medical segmentation masks rather than vision-language models. | |
| claimcheck: Measuring and Improving Specification Faithfulness The paper presents a benchmark to evaluate whether formal specifications generated by language models accurately reflect natural-language requirements. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Exclusively covers text and formal code, not multimodal models. | |
| What Makes a Latent Space Shared? Direct and Recoverable Compatibility in Motion VAEs The authors analyze compatibility across multi-schema latent spaces in motion models, showing shared representations require explicit paired data to align. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Investigates motion VAEs rather than vision-language or multimodal LLMs. | |
| EPOCH: Coverage-Aware Evolution with Experiential Preference Optimization for LLM-based Automated Heuristic Design The authors propose an evolutionary framework that optimizes instance coverage and updates language model weights to discover complementary optimization heuristics. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Does not address vision, audio, or multimodal model capabilities. | |
| The belief-action gap in language model agents The authors examine why language model agents fail by analyzing discrepancies between internal representations of state values and actual action choices. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates agents on text-rendered grid worlds, not multimodal understanding. | |
| Compositional RL: Evaluating and Training LLMs for Collaborative Reasoning The paper studies how much models contribute to multi-model teams, showing individual test scores do not correlate well with collaborative performance. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on language models rather than multimodal cross-domain models. | |
| Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents The paper analyzes the failure modes of agent memory reuse and evaluates certified memory update strategies when facts change. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Does not involve multimodal reasoning or vision-language models. | |
| Reference Wording Shapes Retrieval of Robot Task Instructions The paper investigates how indexed instruction wording affects the performance of lexical rankers for robot task retrieval in manipulation benchmarks. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text-based lexical retrieval of robot task descriptions. | |
| Benchmarking Self-Supervised 3D Medical Vision Foundation Models and Transferability Estimation The paper benchmarks twenty-three self-supervised 3D medical vision foundation models across segmentation, classification, and regression tasks. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates 3D medical vision encoders, not multimodal vision-language models. | |
| Dissociating Answerability from Extraction in LLM Question Answering over Radiology Reports The paper introduces an evaluation method that separates question answerability detection from answer span extraction in radiology report question answering. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates text QA over radiology reports, not multimodal models. | |
| Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images The paper introduces a morphology-aware contrastive learning framework to predict five-year colorectal cancer survival from whole-slide pathology images. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on histopathology image analysis, not vision-language multimodal models. | |
| RELAY: Selective Self-Distillation with Adaptive Hand-off for Rubric-Based Reinforcement Learning The paper proposes a rubric-based reinforcement learning method combining selective teacher distillation with an adaptive hand-off to standard optimization. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text-based reinforcement learning, not multimodal models. | |
| Executable Prefix Values for Locating Agent Failures The paper evaluates judge labels on agent steps by restarting failed trajectories from intermediate states to identify true failure points. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Examines software engineering agent trajectories, not multimodal or vision tasks. | |
| DeltaTTG: Training Multi-Turn Agents with a Token-to-Go Progress Meter Introduces DeltaTTG, a method using predicted remaining token count as a progress signal to allocate advantages in multi-turn reinforcement learning. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates text-based agents, not multimodal or vision-language models. |
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