Every paper checked — nothing hidden

All papers

Every paper checked in the week of 12–18 Oct 2026 · Small and efficient models — nothing is hidden. Brief papers first.

All2,430 In brief3 More (on-topic)455 Not relevant1,957 Not assessed6 Older27 Could not confirm6 Blogs with no paper16 All blogs19

Paper	Topic	Relevance
Re-executing Coding-Agent Evaluations: Unchanged Decisions and Unresolved Policy Risk The paper re-evaluates coding-agent benchmark results to measure sensitivity to test execution environments and grading configurations. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on benchmark reproducibility, not small or efficient models.
Evaluating Bias in Chinese Large Language Models across Tasks and Registers: Task Operationalization Effects and Irony Classification Risks This paper audits Chinese language models for bias and error propagation across formal and ironic social registers. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Investigates evaluation validity, not model compression or efficiency.
LongHisDoc: A Comprehensive Benchmark for Chinese Long Historical Document Understanding This paper introduces a benchmark of expert-annotated question-answer pairs to evaluate multimodal comprehension of long historical Chinese documents. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Analyzes benchmark performance rather than model efficiency or compression.
Uniform Information Density-Based Preference Optimization This paper proposes a preference optimization algorithm grounded in uniform information density theory to align language model outputs. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on preference alignment, not small models or efficiency.
Fine-Tuning Strategy, Not Just Data: A Statistically Rigorous Audit of Gender and Stereotypical Bias in Embedding Models for HR Recommendation Systems This paper audits gender and stereotypical bias in multilingual job-matching embedding models using robust statistical tests. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Evaluates bias impacts, not model compression or efficient serving.
The Company a Question Keeps: Auditing Open Jev-Style Models for Retrieval This paper audits request independence in open Jev-style retrieval models across multi-passage query states. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Investigates retrieval scoring consistency, not model compression.
PVFH-Bench: Benchmarking Premise-Induced Visual Fixation Hallucinations in Vision-Language Models This paper introduces a benchmark to measure vision-language model hallucinations caused by deceptive textual premises paired with visually confusable images. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not investigate model quantization or efficient inference.
VoTSpeech: Decoupling Voice Design from Speech Generation in Instruction-Following TTS This paper presents an instruction-following text-to-speech model that separates voice design from speech generation using an intermediate voice latent. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not investigate model compression or inference efficiency.
Amharic-English Cross-Language Question Answering Using Statistical Machine Translation, Named Entity Recognition, and Semantic Indexing This paper presents a bidirectional Amharic-English cross-language question answering system using machine translation, entity recognition, and semantic indexing. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not investigate model compression or efficient inference.
The Constitution Speaks Nheengatu: An Open MT System and Reproducible Corpus Pipeline for the Amazonian Língua Geral This paper releases an open parallel corpus, speech evaluation set, and translation models for Portuguese and the Amazonian language Nheengatu. Peer-reviewed	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not investigate model compression or efficient serving.
Who Receives Respect? A Counterfactual Benchmark for Honorific Allocation Bias in Bengali This paper introduces a counterfactual benchmark to evaluate honorific register allocation bias across gender and occupations in English-to-Bengali translation. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not explore model compression or efficiency.
Training-Free BioNEL-RAG: Advancing Biomedical Entity Linking through Retrieval-Augmented Generation and Large Language Model This paper introduces a training-free retrieval-augmented generation framework for biomedical named entity linking to improve cross-domain adaptability. Peer-reviewed	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not investigate model compression or efficient inference.
Dependency Reasoning for Aspect Sentiment Quadruple Prediction This paper injects linearized dependency parse trees into language model prompts to improve aspect sentiment quadruple prediction. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not explore model compression or efficient serving.
Social Bias in Chinese Large Language Models under Social Media Expressions This paper evaluates social bias in Chinese language models across social media expressions, internet slang, and sarcastic packaging. Peer-reviewed	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not address model efficiency, quantization, or serving.
Agent-Guided Evidence Acquisition for Emotion-Cause Pair Extraction This paper investigates an agent framework that selectively queries expert judgments for borderline emotion-cause pairs to improve extraction accuracy. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on evidence acquisition strategies, not model compression.
Description Complexity Bounds for Analytic Approximations of Lipschitz Functions This paper derives theoretical description complexity bounds for approximating one-dimensional Lipschitz functions using elementary analytic expression trees. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Mathematical function complexity theory, not efficient model deployment.
TeachGrade: Training-Free Short Answer Scoring with Teacher Evidence This paper proposes a training-free framework that uses teacher-graded examples and dual memories to improve automated short answer grading. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Studies grading frameworks rather than model compression techniques.
HiPAD: A Unified Gait, Audio-Visual, and Personality Fusion Network for Depression Detection, with a Hierarchical Personality Ablation and the Calibration Limits of Domain-Adapted LLMs This paper presents a multimodal fusion network for depression detection combining gait, audio-visual data, and textual personality descriptions. Peer-reviewed	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not investigate model compression or efficient serving.
HodgePhaseNet: Discrete Hodge Decomposition of Semantic Flows in Transformer Attention This paper introduces a discrete Hodge decomposition method to separate semantic flow transitions within transformer attention mechanisms. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Proposes theoretical attention decomposition without focusing on efficiency.
What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO) This paper examines how content matching, retrieval mechanics, and model knowledge affect web page citations in generative search engines. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not explore model efficiency, pruning, or quantization.
PAT: A Personality-Driven Augmentation and Transfer Learning Framework for Depression Detection on Social Media This paper presents a personality-driven augmentation and contrastive learning framework to improve depression detection from social media posts. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on transfer learning rather than model compression.
RegExtract: A Benchmark for PFAS Regulatory Information Extraction with LLMs The paper introduces an information extraction benchmark for extracting structured regulatory fields and source provenance from dense environmental policy documents. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Studies prompting and extraction methods, not model efficiency.
Lumen-bench: Cross-Lingual Safety Gaps and the Say-Do Problem in Tool-Calling Large Language Models The paper introduces a multilingual benchmark evaluating safety and discrepancies between verbal refusals and tool actions in tool-calling language models. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not address model compression, quantization, or distillation.
Where Did We Go Wrong? Localizing Errors to Repair Multi-Turn Conversations The paper presents a framework to probabilistically localize user-intent misinterpretations and repair conversational states in multi-turn assistant systems. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not cover model quantization, pruning, or efficient inference.
Learning Proposition-Level Links from Sentence-Level Supervision for Neuro-Symbolic NLI The paper proposes a trainable proposition linker that learns atom-level semantic links from sentence-level supervision for neuro-symbolic inference. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not study model pruning, quantization, or efficient serving.
Sanzaru: Benchmarking Protocol Formation under Epistemic & Communication Asymmetry The paper introduces a benchmark evaluating how multi-agent teams develop communication protocols under asymmetric information and restricted communication channels. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not examine model compression or inference efficiency.
Active Learning for Finding a Needle in a Haystack The paper evaluates whether active learning strategies can overcome initial selection biases when identifying rare document classes in large text corpora. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on data labeling strategies, not efficient model architectures.
Word-Aligned Prosody Reflects Speaker Differences More Than Depression or PTSD Severity The paper investigates whether word-aligned prosodic speech measurements reflect speaker identity traits more strongly than depression or PTSD severity. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not focus on model compression, pruning, or efficient inference.
Do LLMs differentiate linguistic traits internally?: A layer-wise analysis The paper conducts layer-wise representational analysis to determine how language models internally distinguish conventional meanings from idiomatic traits. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Studies layer representations rather than compression or efficient serving.
Do correct answers have stable latent knowledge support? The paper proposes stability metrics to measure whether correct outputs in language models are backed by stable internal knowledge representations. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not address model pruning, distillation, or serving efficiency.
From Candidate Tokens to Final Outcomes: Decoding Relative Long-Horizon Candidate Value from Reasoning Model Representations The paper constructs a dataset to show that relative candidate token value in multi-step reasoning is linearly decodable from model representations. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not study model compression, distillation, or inference optimization.
AlphaPilot: Multi-Turn Tool-Using LLM Agents for Adaptive Alpha Mining with Reinforcement Learning The paper introduces a reinforcement learning framework that trains tool-using agents to generate and refine financial alpha factor formulas. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not address model compression, pruning, or serving efficiency.
Concept Representations in Vector Space: Quantifying Sharedness and Idiosyncrasy of Meaning The paper develops a measurement framework using sentence embeddings to quantify shared versus individual-specific variation in concept definitions. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not cover model compression, distillation, or serving efficiency.
Apertus 1.5: From Open Text Models to Open Multimodal Reasoners The paper presents open-source multimodal models extended to process text, images, and audio with long-context reasoning capabilities. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on 8B/70B pretraining rather than efficient model compression.
An Interpretable Linguistically-Grounded Analysis of Scene Saliency in Movie Screenplays The paper evaluates whether uniform information density and specific linguistic features predict salient scenes in movie screenplays. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not address model compression, pruning, or efficient inference.
Feedback as an Interface: Controlling Form and Detail in LLM Translation Refinement The paper investigates how varying the detail and format of feedback affects machine translation refinement in large language models. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not explore quantization, pruning, or efficient model serving.
A Persian Vision-Language-Action Dataset and Benchmark for Ambiguity- and Infeasibility-Aware Instruction-to-Plan Grounding The paper introduces a Persian vision-language-action dataset and benchmark to evaluate robotic instruction grounding under deliberate ambiguity and infeasibility. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not study model compression, distillation, or efficient inference.
Rate-Resolved Text Evaluation with Masked Diffusion Language Models The paper introduces rate-resolved text evaluation to turn masking rates in diffusion language models into diagnostic scores for text assessment. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not address model compression or efficient serving.
The Mathematical Collective Unconscious: Jungian Archetypes within the Latent Space The paper examines whether large language model embedding spaces naturally form semantic clusters resembling Jungian archetypes using synthetic and human-authored texts. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Not focused on efficient models or compression.
Towards Autopilot Labeling for Short Video Content Governance The paper presents a multi-stage automated labeling framework using multimodal models and agents to annotate short videos for content moderation. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not study model compression or efficient serving.
Do LLM Tutors Actually Teach? A Process-Centered Synthesis of the Tutoring Loop This paper synthesizes literature on educational language models to evaluate whether tutoring systems measurably improve student learning gains. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Not focused on model size or inference efficiency.
Generalizable Model Editing Could Be More Than Direct Generalization The authors analyze limitations in direct model editing benchmarks and compare them against observed generalization in practical chat settings. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not address model compression or inference efficiency.
TL;QR: Querying Temporal Discursive Patterns in Textual Corpora TL;QR pairs language-model passage judgments with a symbolic temporal logic engine to track evolving patterns in textual corpora. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Not focused on model quantization, distillation, or pruning.
NepPlural: A Human-Anchored Benchmark for Persona Annotation in Nepali Migration Discourse NepPlural provides an annotated benchmark of Nepali discourse to evaluate how reliably language models capture diverse socio-cultural personas. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not explore model compression or efficiency techniques.
Enhancing Zero-Shot Domain Transfer in Low-Resource Sentiment Analysis: A Case Study in Marathi This paper studies multi-domain training setups to improve zero-shot sentiment classification transfer across unseen domains in Marathi. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not study compression or efficient model serving.
Robust Marathi Sentiment Analysis using Domain-Adaptive Pre-training and Data Augmentation Approaches The authors evaluate domain-adaptive pretraining and back-translation data augmentation to improve sentiment classification in Marathi. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Not focused on model compression or efficient inference.
RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution RSIPO introduces a reinforcement learning framework where agentic skills and policy models co-evolve using self-extracted trajectory experience. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Not focused on model quantization, pruning, or efficiency.
Who Sets the Pace of Judge Hacking? Judge Capability versus the Policy-Judge Gap This work analyzes whether policy capability gaps or judge models dictate reward hacking when training models against language-model judges. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on judge capability and RL, not compression.
Local Citation Recommendation Without Graph Signals The paper introduces a dataset and citation recommendation system that retrieves relevant scientific papers without relying on citation graphs. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not study model pruning, quantization, or distillation.
Latent Taxonomies: How Property Induction Develops in Language Model Pre-training This study analyzes how category-based property induction emerges in language models during pretraining using a synthetic hierarchical taxonomy. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Analyzes scaling effects, not compression or efficient inference.
KhyontekAI at CheckThat! 2026: Multilingual Dense Retrieval and Cross-Encoder Reranking for Scientific Web Claims The authors present a multilingual dense retrieval and reranking framework to link scientific web claims to their source publications. Peer-reviewed	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not address model compression or efficient serving.
Binding Phoneme Identity to Position in Neural Models and the Human Brain The study tests whether neural models bind phoneme identity to serial position using state direction and magnitude representations. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Investigates phoneme representations, not model efficiency.
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	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Studies feature steering and ablation, not model compression.
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	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Not related to model efficiency, quantization, or distillation.
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	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Does not study model compression, quantization, or efficient architectures.
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	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Applies standard BERT models rather than model compression.
Mixed Feelings, Single Polarity The authors examine failure points when projecting complex emotion dataset labels onto single positive or negative valence polarities. Preprint	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Analyzes emotion label mappings rather than model efficiency.
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	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on evaluation methodology, not model compression or efficiency.
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	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Studies pretraining alignment and evaluation rather than model compression.
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	Small and efficient models via arxiv · 15 Oct, 06:18	Not relevant Focuses on agent coordination mechanisms rather than model compression.

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