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 |
|---|---|---|---|
| What Do Sparse Autoencoder Feature Discovery Scores Identify? From Activations to Interventions This paper compares observational feature discovery scores in sparse autoencoders against actual causal intervention effects on model outputs. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Does not involve multimodal representations or models. | |
| Unchecked or Falsely Accused? Evaluating AI-Generated Text Detectors on Kazakh This work evaluates machine-text detectors on Kazakh text using pre-ChatGPT human writing and shows significant false-positive rates. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Text-only dataset and detectors, no multimodal components. | |
| RIVO: Lightweight Adaptive Rerouting for Deep Research Agents RIVO is a lightweight plug-in framework that adaptively reroutes research agent trajectories to prevent premature stopping or wasted steps. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Text-only agent framework, not involving multimodal models. | |
| More Reasoning Is Not Always Better: Executing Clinical Guidelines with LLMs and Rules MedDEx combines language models for patient data extraction with deterministic rule engines to execute clinical treatment guidelines accurately and efficiently. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Applies to clinical text records, not multimodal data. | |
| Natural Language Processing for Aligning Readings with Learning Objectives and Assessing Topic Balance in Dental Education The paper develops a natural language processing workflow to check reading list alignment with curriculum objectives and topic balance. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Processes text abstracts and objectives, not multimodal models. | |
| Scaling Repeated-Data Pretraining: Batch Size, Regularization, and GPU-Time Tradeoffs This paper investigates batch size, regularization methods, and runtime tradeoffs when pretraining language models on repeated finite data. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on language model pretraining without multimodal components. | |
| Mixed Feelings, Single Polarity The authors examine failure points when projecting complex emotion dataset labels onto single positive or negative valence polarities. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Studies text sentiment analysis, not multimodal systems. | |
| PAIR: Memory-Efficient and Fast Inference with Reading--Reasoning Fusion PAIR splits context processing and answer reasoning between two different-sized models, fusing predictions at the logit level for efficient inference. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on language model context processing without multimodal inputs. | |
| Improving the Evaluation of Biomedical Question Answering with Few Human Preference Signals This paper uses limited human preference signals to calibrate automated evaluation metrics for biomedical retrieval-augmented question answering. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on text biomedical QA, not multimodal data. | |
| Beyond the greenwash: do LLMs' ecologically sound decisions hold up under pressure? This paper measures whether ecological alignment in large language models survives under pressure using a calibrated pretraining ladder. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Evaluates language models without multimodal components. | |
| Scaling Multi-Agent Intelligence with Substrate-Centric Coordination ScaleMAS coordinates multi-agent systems using an asynchronous shared datastore with limited search to improve scaling and fault tolerance. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Deals with multi-agent coordination without multimodal data. | |
| Hashrope: A Persistent Data Structure for Mechanisms of LLM Context Management This paper presents Hashrope, a unified persistent data structure supporting incremental edits, branching, and cache reuse for language model serving. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Addresses text context serving engines, not multimodal systems. | |
| Think Before You Speak: Enabling Training-Free Latent Communication Between Language Models This paper presents CacheFuse, a training-free technique enabling heterogeneous language models to communicate directly by sharing key-value cache states. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on language model latent communication, not multimodal models. | |
| DeepThink: A Conceptual Model for Knowledge-Addressable Recurrent Language Modeling This paper proposes DeepThink, a conceptual architecture that decouples knowledge capacity, activation width, and recurrent depth in language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses entirely on language modeling without multimodal inputs. | |
| Lüshi-1840: Building and Probing a Knowledge Cutoff for a Classical Chinese Language Model This paper introduces Lüshi-1840, a pre-modern Chinese language model trained on historical texts to evaluate knowledge cutoffs and hindsight bias. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Deals with historical Chinese text, not multimodal models. | |
| Error Correction in Trained TTT Layers This paper analyzes prediction-derived error updates and test-time gradient objectives in trained test-time-training layers. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on sequence model layers without multimodal integration. | |
| Deep Speech Representations Track Word Timing along a Low-Dimensional Circular Trajectory This paper demonstrates that deep speech representations track word timing along low-dimensional circular trajectories across multiple model architectures. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Analyzes speech-only representation geometry rather than multimodal cross-modality reasoning. | |
| RelLedger: Relational Information Governance for LLM Agent Organizations This paper introduces RelLedger, an auditing framework to trace how relational histories drive reporting choices and actions in multi-agent systems. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Examines text-based agent workflows, not multimodal models. | |
| ATTCK-R: Knowledge-Aware Long-Horizon Jailbreaking for Protected LLMs This paper presents ATTCK-R, a planning-driven multi-turn red teaming framework to evaluate language models guarded by prompt safety defenses. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Evaluates text-based LLM safety rather than multimodal vision-language models. | |
| Strong yet Controllable LLM Abstention without Learning to Abstain This paper proposes TAPS, combining standard accuracy training with post-hoc confidence selection to give controllable abstention rates without specialized tuning. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on text QA abstention without multimodal components. | |
| RIFT: Token Influence Follows the Path of Least Resistance This paper proposes RIFT, a method using electrical resistance analogies to trace token influence through transformer attention graphs. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses entirely on text decoder transformers, not multimodal models. | |
| A Production-Grade, High-Efficiency Agentic RL Framework for Frontier LLMs with Validated Recipes This paper introduces LoongSage, an asynchronous reinforcement learning framework designed to run multi-turn agent tasks with reduced system overhead. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on language model RL infrastructure, not multimodal capabilities. | |
| Self-Distillation with Verbal Regularization This paper proposes verbal regularization prompts for on-policy self-distillation to prevent teacher models from taking shortcut reasoning paths. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Text-only language model training; does not address multimodal models. | |
| HexaBee-4B: Six-Language Translation with Multilingual Answering and Bidirectional Supervision This paper introduces HexaBee-4B, a translation model trained across six languages using joint multilingual answering and bidirectional supervision. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Fine-tunes text translation models without using multimodal image or video capabilities. | |
| Rule vs.Consequence: Dissociable Internal Representations of Moral Reasoning in LLMs This paper uses activation steering and probing to identify distinct internal representations for rule-based versus consequence-based moral reasoning in language models. Peer-reviewed | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Analyzes text-based moral reasoning without multimodal image or audio processing. | |
| PersonaFactor: Preference Factors with Dynamic Selection for LLM Personalization This paper presents PersonaFactors, a framework that distills reusable preference patterns across tasks for dynamic prompt personalization in language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Evaluates text-based personalization benchmarks without multimodal model capabilities. | |
| CultureBot: A Framework for Retrieval-Augmented Exploration of Cultural Heritage Data This paper introduces an interactive retrieval-augmented framework that combines knowledge graphs and text retrieval to explore digital cultural heritage archives. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on text and knowledge graph retrieval without multimodal vision-language models. | |
| CivWorldBench: Evaluating Language World Models in Structured Multi-Agent Sandbox Worlds This paper introduces a multi-agent sandbox benchmark to evaluate language models on state inference, forecasting, and intervention prediction. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Assesses language models on text state representations without visual multimodal processing. | |
| Differential Privacy Protected Preference Alignment on Survey Derived Data This paper presents a label differential privacy framework to protect survey-derived ordinal preference data during language model alignment. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on text-based survey preference alignment without multimodal capabilities. | |
| The interpreter as developer: An autoethnographic design study of building a computer-assisted interpreting tool through human-LLM co-creation This paper presents a case study of an interpreter co-creating a local computer-assisted interpreting tool using large language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on interpreting workflows and software development without vision-language modeling. | |
| Ontology-Based Post-Coordinated Expression Assembly: from Clinical Narrative to Queryable Knowledge Graphs This paper introduces UNIGRAPHE, a deterministic method to assemble clinical text into queryable knowledge graphs conforming to SNOMED CT grammar. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Processes clinical text records without multimodal image or audio components. | |
| Communication, Vocalisation, and Language This position paper argues that large language models perform language as social practices rather than building distributed representations of symbols. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Theoretical commentary focused solely on natural language processing without multimodal models. | |
| Intent-Triggered Anchoring for Multi-Token Format Units in Parallel Decoding of Diffusion Language Models This paper introduces a training-free decoding rule that anchors multi-token format units to ensure parseable parallel generation in diffusion language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Applies decoding rules to text diffusion generators, not multimodal vision-language models. | |
| Support or Magnitude? Characterizing Neuron Relevance for Instruction Data Selection This paper examines neuron relevance characterization methods based on magnitude and distribution support for selecting instruction fine-tuning data. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Examines text instruction fine-tuning without any multimodal components. | |
| Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards This paper investigates gradient spectral properties during reinforcement learning with verifiable rewards to design an adaptive-rank optimizer for reasoning models. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on language model training optimization without multimodal data. | |
| Know Yourself and Know Your Neighbour: A Syntactically Informed Self-Supervised Compositional Sentence Representation Learning Framework using a Recursive Hypernetwork This paper presents a self-supervised recursive hypernetwork framework using parse trees to learn syntactically informed compositional sentence representations. Peer-reviewed | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Works strictly on text sentence representations without any multimodal features. | |
| SIREN: Situation-aware Index for Response and Emergency ActioNability in Crisis Translation This paper introduces an evaluation index to measure whether machine translation of emergency communication preserves critical safety actionability. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals with text translation in emergencies, with no multimodal modalities evaluated. | |
| EHR-Bench: A Chinese Multi-Task Benchmark for Recruitment AI This paper introduces a Chinese multi-task evaluation benchmark covering six recruitment application areas for language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates text-based recruitment tasks without multimodal image, video, or audio data. | |
| Attention-Graph Curvature for the Verification of Mathematical Reasoning This paper evaluates whether attention-graph curvature features can help verifiers detect errors in mathematical reasoning steps. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates text-based mathematical reasoning verifiers, without multimodal inputs. | |
| What Is the "Self" of a Large Language Model? This paper investigates internal model representations that separate assistant actions from externally provided text across conversational layers. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals strictly with text-based language model representations, not multimodal models. | |
| The Multilingual Artificial Hivemind: Do All LLMs Think Alike in Every Language? This paper investigates output diversity and text homogenization across twenty-three open-weight language models and thirteen languages. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Examines multilingual text generation without any visual or audio multimodal components. | |
| Is the Platform Part of the Measurement? A Protocol and Simulation Study for Cross-Platform Equivalence of Machine-Labelled Policy Sentiment This paper presents a psychometric framework to test whether automated sentiment classification remains equivalent across different social media platforms. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals exclusively with social media text data. | |
| A Bethe-Ansatz Source of Early Token Correlations: A marginal-preserving construction for parallel proposals This paper constructs joint token probability laws from physics models to improve speculative verification in parallel language model decoding. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Presents mathematical token generation theory, not multimodal models. | |
| TPPO: Tracking-Value PPO For Language Model Reasoning This paper proposes a cumulative value parameterization method for reinforcement learning to improve credit assignment in multi-step language reasoning. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluated purely on textual mathematical and reasoning tasks. | |
| The Bell Boundary of Shared Representations This paper uses Bell's theorem bounds to analyze capacity limits and task interference in multi-task shared representations. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Studies multi-task capacity theoretically without addressing multimodal architectures. | |
| Label Collapse in Diffusion Language Model In-Context Learning This paper analyzes label collapse failure modes across diffusion and autoregressive language models during in-context learning classification. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text-based language models and in-context learning. | |
| ANCHOR: Assessing Naturalistic Constraint Hierarchies and Ordering in Repository-Grounded Agentic Coding This paper introduces a repository-grounded benchmark to evaluate how well coding agents follow engineering constraints and developer workflows. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Evaluates code and repository tasks without multimodal perception. | |
| SpecGuardBench: Can Coding Agents Construct Reliable Validation Harnesses from Natural Language Specifications? This paper introduces a benchmark to test if coding agents can build reliable validation test harnesses from natural language specifications. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Pertains to software repositories and specifications, not multimodal data. | |
| Lexical Redefinition Reveals Context-Sensitive Instruction Following This paper tests how language models handle explicit instructions when subsequent contextual sentences provide conflicting word definitions. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses strictly on text instruction following and semantics. | |
| Event Memory and Narrative Dynamics: A Large Language Model Framework for Multidimensional State Spaces This paper presents a language model framework to extract event representations from autobiographical narratives into geometric state spaces. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Analyzes text interview narratives without multimodal data. | |
| Predicting Mental Health Help-Seeking Behaviour on Reddit: A Survival Analysis of Linguistic and Behavioural Signals This paper uses survival analysis on Reddit text and activity to predict when users will seek mental health support. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals only with text and behavioral features on social media. | |
| MENTOR: Procedural Shielding of Tool-Using LLM Agents This paper introduces a system to ensure tool-using language model agents comply with natural language company procedural manuals. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Applies to text-based tool-use agents, not multimodal systems. | |
| Beyond Model Bias: Cross-Entropy Based Rankings in Literary and Academic Texts Remain Stable across Small Language Models This paper studies cross-entropy surprisal metrics, showing that predictability rankings of texts remain consistent across multiple small language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Studies text surprisal and predictability, not multimodal architectures. | |
| UZHCL_for_the_win at Touche: Encoder Fine-Tuning, Synthetic Augmentation, and an Underpowered Encoder-LLM Comparison This paper evaluates encoder fine-tuning and synthetic data augmentation for fallacy detection and argument classification on Reddit discussions. Peer-reviewed | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals solely with text classification of Reddit discussions. | |
| Towards Universal Calibration for In-Context Classification This paper presents a universal calibrator to improve confidence estimates of in-context classification without requiring model-specific fine-tuning. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on text classification rather than multimodal models. | |
| Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representations This paper proposes a mathematical framework using cellular sheaves to isolate phrasing-invariant content representations in transformer language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Examines text transformer representations without multimodal components. | |
| ToolHACE: A Dataset for Detecting Hallucinations in Tool-Based LLM Responses This paper introduces a benchmark dataset to evaluate hallucination detection in language model responses after external tool execution. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals with text and tool responses, not multimodal vision/audio tasks. | |
| DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck The paper proposes an agent framework that discovers lightweight proxy evaluators to bypass costly benchmark evaluations during autonomous engineering discovery. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Focuses on software engineering code agents, not multimodal understanding. | |
| Soft Teacher Forcing The paper proposes combining teacher-forced embeddings with soft tokens to improve supervised fine-tuning on reasoning datasets without changing inference. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals entirely with text-based language models, not multimodal inputs. | |
| Welcome to the Age of Agent Ads: Using On-Policy Attacks to Steer Agentic Decisions The paper investigates on-policy indirect manipulation attacks that steer autonomous agent purchasing and ranking decisions via web retrieval. Preprint | Multimodal models via arxiv · 15 Oct, 06:17 | Not relevant Deals with text-based agent web browsing and ranking, not multimodal models. |
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