Large Language Models

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Period ending 2026-09-21

21 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

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  1. ReflectRL: Learning from Golden Negative Trajectories via Reflective-to-Direct Reasoning

    Aug 4, 2026Jinhe Bi, Chennan Zhou, Zengjie Jin +10Reasoning TrajectoryOn-Policy

  2. Separating quantum circuits from classical LLMs

    Aug 4, 2026Srinivasan Arunachalam, Arkopal Dutt, Hari Krovi +1Quantum Circuit SimulationLarge Language Model Quantization

  3. VIBE: A VAD-Informed Benchmark for Entity-Centered Affective Profiling of Large Language Model Outputs

    Aug 4, 2026Andrei Chetvergov, Alexander Evseev, Timofei Sivoraksha +4Valence-Arousal EstimationSentiment Analysis

  4. A Security-Oriented Lifecycle Model for Large Language Model Systems

    Aug 4, 2026Eleftherios Batzolis, George Drosatos, Vassilis Katsouros +1Large Language Model SafetySecurity

  5. Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve

    Aug 4, 2026Denys Pushkin, Albert Q. Jiang, Aryo Lotfi +2Instruction-Tuned ModelsChain-of-Thought Reasoning

  6. Don't Let Me Ask for It: LLMs Show Deficiencies in Active Multi-Turn Information Acquisition for Abductive Inference

    Aug 4, 2026Shahrukh Mohiuddin, Chalamalasetti Kranti, Sherzod Hakimov +1Abductive ReasoningLarge Language Model Performance

  7. The Tell-Tale Trace: Detecting Reasoning Failures in LLMs Using Chain-of-Thought Dynamics

    Aug 4, 2026Shashwat Sourav, Aishwarya BalwaniReasoning FailuresLarge Language Model Reasoning

  8. Scalable Frequency- and Length-Aware Subdocument Deduplication for Large Language Model Pretraining

    Aug 4, 2026Hai Wang, Chenhao Wang, Qifeng Cai +6Semantic DeduplicationText Corpora

  9. Getting the Parameters Right: A Difficulty-Graded Benchmark and Probe-Guided Training for LLM Tool Calls

    Aug 4, 2026Guoyao Yu, Xiaoqing Sun, Ziqi Huang +13Large Language Model CallsLarge Language Model Agents

  10. SeqLLM: Augmenting LLMs with Behavioral-Sequence Modeling for High-Stakes Decisions at WeChat Pay

    Aug 4, 2026Guilin Li, Jiaxing Zhang, Matthias Hwai Yong Tan +2Large Language Models(LlmsSequence Modeling

  11. Inverted Detection and Control in Steering Vectors

    Aug 3, 2026Max Torop, Aria Masoomi, Jennifer DyActivation SteeringLarge Language Model Output

  12. Chat Debugging: An Exploratory Study of Human-AI Collaboration to Debug Analog Circuits

    Aug 3, 2026John Hu, Andrew AshPrecise DebuggingAnalog Circuits

  13. GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning

    Aug 3, 2026Zhaoxin Yu, Qi Shen, Hengli Li +4Efficient Latent ReasoningCredit Assignment

  14. Cultural Awareness is Represented but Not Decoded: Tracing Mythological Knowledge across 18 Open-Source LLMs

    Aug 3, 2026Iaroslav Chelombitko, Ekaterina Chelombitko, Mika HämäläinenCultural KnowledgeLarge Language

  15. Why Large Language Models Fail at Tabular Prediction

    Aug 3, 2026Marta Garnelo, Wojciech M. CzarneckiLarge Language Model PerformanceTabular Data

  16. Beyond the Mean: Multi-Moment Policy Optimization for LLM Reasoning

    Aug 3, 2026Yijun Zhang, Yule Xie, Jiaxin Ding +4Large Language Model ReasoningMulti-Objective Policy Optimization

  17. SearchMaster: Grounded and Regulated Self-Play for Search Agents

    Aug 3, 2026Wentao Tan, Qiong Cao, Jiaqi Wang +1Search AgentsSelf-Play

  18. EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming

    Aug 3, 2026Kaustuv Mukherji, Jaikrishna Manojkumar Patil, Colton Payne +4Vulnerability Detection & RepairLarge Language Model Safety

  19. GISAgentBench: A Practitioner-Sourced Benchmark for Evaluating LLM Agents on GIS Tasks

    Aug 3, 2026Abhinav Pothuri, Zhe Jiang, Zelin Xu +1GeospatialOpti-Agent-Bench

  20. The Graph Language: How Knowledge Graphs Speak to Large Language Models

    Aug 2, 2026Giuseppe PirròKnowledge GraphsLarge Language Model Reasoning

  21. What Could the Agent See at 19:05? Generating Temporal Enterprise Scenarios from Real Research and Replaying Them to Evaluate Agents

    Aug 2, 2026Tezan Sahu, Himani AroraAgentic EvaluationsArtificial Intelligence Agents

  22. Escaping Confidence Trap: Evolutionary Decoding for Mathematical Reasoning in Diffusion LLMs

    Aug 1, 2026Zhenhong Sun, Hanqing Zhao, Yatao Bian +7Mathematical ReasoningLarge Language Model Reasoning

  23. F-WANDA: Fisher-Reweighted Post-Training Pruning for Sustainable Deployment of Large Language Models

    Aug 1, 2026Himanshu MishraLarge Language Model CompressionHeterogeneous Pruning Scores

  24. Diagnose Before You Compress: Prediction-Independent Bottleneck Witness Refinement for LLM Serving Traces

    Aug 1, 2026Liming Liu, Chao Hu, Mingfei Lu +7Large Language Model ServingWorkload

  25. Lost in Compaction: Evaluating Side-Constraint Loss under Context Compaction

    Jul 31, 2026Zhiqi Wang, Yichi Zhang, Dongwon Lee +1CompactionRetention

  26. Instruction Stacking Collapse: A Benchmark and the Capability-Dependent Value of Prompt Compilation

    Jul 31, 2026Atul Anand, Sourav ChattarajInstruction-Tuned ModelsInstruction

  27. Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning

    Jul 31, 2026Xinyan Guan, Jiali Zeng, Chunlei Xin +5Reasoning FailuresLarge Language Model Performance

  28. On the Efficacy of Self-Supervised Point Cloud Encoders for Efficient 3D Large Language Models

    Jul 31, 2026Yao Zheng, Tian ZhangLarge Language

  29. Harnessing the Wisdom of LLM Crowds through Complementarity-Driven Iterative Collaboration

    Jul 31, 2026Yanbin Fang, Xuan Wei, Wei ChenLarge LanguageArtificial Intelligence Systems

  30. A robust association between LLM use and scientific productivity: Assessing stopping-time selection

    Jul 31, 2026Keigo Kusumegi, Xinyu Yang, Paul Ginsparg +3Scientific DiscoveryLarge Language

  31. Reflection or Re-Generation? Why LLM Revision Fails Where Human Revision Succeeds

    Jul 31, 2026Yefan Tao, Gerald Friedland, Madhusudhanan Chandrasekaran +1ReflectionsIterative Self-Correction

  32. Benchmarks Are Not Validation: A System-Level View of Financial LLM Applications

    Jul 30, 2026Burak Payzun, İrem Demirtaş, Simona Scala +2Finance BenchmarksLarge Language Model Evaluation

  33. MORFES: A Benchmark for Productive Inflectional Competence in Modern Greek

    Jul 30, 2026Ioakeim Perros, Cleopatra Papadopoulou, Ayoub Kirouane +1Ancient GreekMorphology

  34. MMLDSum-LLM: Multimodal Long-Document Summarization with Visual-Alignment and Keyword-Aware

    Jul 30, 2026Xianpeng Zhang, Jiahua Yang, Dongyu Chen +7Multimodal LearningSummarization

  35. IFHierBench: Hierarchical Instruction Following for Large Language Models

    Jul 30, 2026Yuetian Mao, Chunyang ChenInstruction-Tuned ModelsInstruction

  36. FinanceHarness: Autonomous Financial Deep Research Framework

    Jul 30, 2026Yijia Xiao, Rujun Han, Yanfei Chen +8Finance BenchmarksDeep Research

  37. Revisiting Predictive Process Monitoring in the Age of Foundation Models: A Comparative Study of Sequence, Tabular, and LLM Approaches

    Jul 30, 2026Lennart Fertig, Lukas Kirchdorfer, Tobias SesterhennSequence ModelingNext Activity Prediction

  38. Gradient-free Task-Conditioned Retrieval for On-Device In-Context Learning

    Jul 30, 2026Xinyu Luo, Hui Liu, Yihua Shao +3In-Context LearningIn-Context

  39. DeepResearch Agent System

    Jul 30, 2026Yong Huang, Yulu Huang, for the team CollaborationDeep ResearchDeepseek

  40. Belief Coevolution in a Social Network of Generalist and Specialist Large Language Models

    Jul 29, 2026Germans Savcisens, Samantha Dies, Courtney Maynard +1Multi-Agent Large Language ModelOpinion Dynamics

  41. MedLLM: An Open Medical Language Model at the Sub-Billion Scale

    Jul 29, 2026Maxx Richard Rahman, Asim Ahmed, Mihan Mohagheghzadeh +1Large Language Models(LlmsRetrieval Recall

  42. Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs

    Jul 29, 2026Xu Zheng, Chaohao Lin, Zhuomin Chen +4Hierarchical Graph MemoryInference-Time

  43. Using large language models to probe the limits of atom-centered structural descriptors

    Jul 29, 2026Michelangelo Domina, Michele CeriottiAtomsMolecular Property Prediction

  44. Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning?

    Jul 29, 2026Arnav Hiray, Agam Shah, Caleb Lu +3Large Language Model ReasoningLarge Reasoning Models

  45. Flat Score, Amplified Failures: How the Error Budget Masks Damage in Quantized LLM Agents

    Jul 29, 2026Jiwon Jang, Kisu Yang, Heuiseok Lim +1Large Language Model QuantizationQuantization

  46. SDO: Structure-Aware Data Organization for Efficient LLM Post-Training

    Jul 29, 2026Jinliang Gao, Ning Yang, Hai Wang +2LLM Post-Training MethodsMini-Batch Stochastic Gradient Descent

  47. Enhancing Generative Information Extraction with Two-step Validation: A Product Attribute Use Case

    Jul 29, 2026Yi-Sheng Hsu, Nermeen Abou Baker, Uwe HandmannLarge Language Model PerformanceDomain-Specific Language

  48. Scientific Knowledge Discovery in the Age of Large Language Models

    Jul 29, 2026Eleni Adamidi, Serafeim Chatzopoulos, Thanasis VergoulisInformation Retrieval MetricsLarge Language

  49. Aligning LLM-Simulated and Human Examinees for Psychometric Calibration: A Cognitive Diagnostic Profiling Approach

    Jul 28, 2026Wenjie Zhou, Yunting Liu, Renjiao Tang +1PsychometricsCognitive Diagnosis

  50. Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems

    Jul 28, 2026Marylou Fauchard, Florian Carichon, Margarida Carvalho +1Multi-Agent SystemsDeception

  51. When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs

    Jul 27, 2026Tong Zhang, Zexin Li, Simin Chen +1Large Language Model PerformanceInference Cost

  52. KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems

    Jul 27, 2026Shuo Wang, Fang Xi, Wenyuan Huang +2Large Language

  53. Kalypso: Relational LLM Serving

    Jul 26, 2026Hojae Son, Md Ashraful Islam, Huy Gia Cao +2Large Language Model ServingLarge Language

  54. A Frozen 12B Beats Frontier Models on Verified Work: 100% Accuracy, 0 Tokens, Bit-Exact, Forever

    Jul 26, 2026Sietse SchelpeFrozen ModelsFrontier Models

  55. Do Diagrams Help Large Language Models Reason? Evidence from Syllogistic Reasoning

    Jul 26, 2026Risako Ando, Koji MineshimaDiagramsLarge Language Model Reasoning

  56. BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi

    Jul 25, 2026Hariom Ingle, Ronit Ghode, Ishwari Gondkar +2Named-Entity RecognitionBert-Based Models

  57. Agent Team Work Zone: An Automated, Persistent Workspace for Long-Lived Claude Code Agent Teams

    Jul 24, 2026Shouren WangCoding AgentsAgentic Workflows

  58. AssumptionMiner: Extracting, Tracing, and Revising Implicit Assumptions in LLM Code Generation

    Jul 24, 2026Jie "JW" WuCode GenerationLarge Language

  59. Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests

    Jul 24, 2026Junda Zhao, Shurui Zhou, Eldan CohenTest GenerationBug

  60. Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science

    Jul 24, 2026Davide Scarso, Hugo Noronha de Almeida, Joaquim PinaLarge Language Model ReliabilityLarge Language