Task-Relevant Evidence

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Period ending 2026-09-21

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Period ending 2026-09-14

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Period ending 2026-09-07

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53 papers

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Semantic CSI Feedback for Beam Selection: When Task-Aware Embeddings from Sparse Pilots Outperform Full-Bandwidth Reconstruction
Sep 16, 2026Cristian J. Vaca-Rubio, Konstantinos Vandikas, Aneta Vulgarakis FeljanChannel State Information Semantic Communications
Map2Route: Benchmarking Compositional Language-Grounded Route Planning over Semantic Maps
Sep 15, 2026Muyi Bao, Hang Xu, Jingfan Tang +5Semantic Mapping Expert Routing
World Models for Embodied Intelligence: From Plausible to Controllable to Actionable
Sep 15, 2026Nanjie Yao, Hao Wang, Chong Cheng +10World Models Intelligence
2AM: Grounding Agent-Side Memory as Guidance for Steerable Action Models in Long-Horizon Manipulation
Sep 12, 2026Yutong Hu, Fengjiao Chen, Xuezhi Cao +1Multimodal Agents Agent Memory
LLM Forensics: Where Do Backdoors Hide? Localizing and Controlling Trigger Mechanisms with Sparse Autoencoders
Sep 7, 2026Wissam Antoun, Francis Kulumba, Théo Lasnier +2Trigger Backdoor Attacks
Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs
Sep 1, 2026Wentao Zhang, Syed Shariyar Murtaza, Junaid Ahmad Bhatti +4Multi-Agent Large Language Model Multi-Agent Large Language Model Systems
Information Abundance Paradox: Long-Context Training Undermines Parametric Knowledge
Aug 12, 2026Arda Uzunoglu, Benjamin Van Durme, Daniel KhashabiEfficient Long-Context Inference Large Models
ActBench: Self-Evolving Benchmark of Behavioral Safety in Cowork Agents
Aug 10, 2026Hongwei Yao, Yiming Liu, Meihui Chen +6Security Analysis Adversarial Evaluation
Did the Grid Erase the Event? EndoClock for Auditing Medical World-Model Pipelines
Aug 10, 2026Yarin Udi, Tom Sharon-Shahak, Roee Masad +1Clocks Observation
SWE-Touch: Benchmarking Coding Agents When Users Touch the Code
Aug 3, 2026Yuqiao Tan, Jinxiang Meng, Fangyu Lei +4Coding Agents Collaboration
Post-Training on Office Work Improves Software Engineering: A Behavioral Account of Cross-Domain Transfer
Aug 3, 2026Logan Ritchie, Sushant Mehta, Liudas Panavas +1Long-Horizon Agents LLM Post-Training Methods
Desktop-Delta Bench: Do Computer-Use Models Understand Desktop GUI Transitions?
Jul 28, 2026Abhishek Pillai, Samir Kumar Nayak, Yuan ChenGraphical User Interface Task-Relevant Evidence
Beyond Zooming: Learning Multi-Tool Visual Reasoning for Ultra-High-Resolution Remote Sensing
Jul 28, 2026Fengxiang Wang, Jiangnan Huang, Mingshuo Chen +8Remote Sensing Visual Reasoning
Generator-Aligned Representation Interfaces for Diagnostic Soft Equivariance
Jul 28, 2026Weitao Li, Gong ChengExact Equivariance Equivariant Neural Networks
Not Birds of a Feather: Personality-Based Partner Selection in LLM Agents
Jul 22, 2026Tao Wang, Hsiang-Ling Chiu, Chihang Wei +2Personality Large Language Model Agents
IMBench: A Benchmark for Intuitive Robotic Manipulation
Jul 17, 2026Anurag Maurya, Sukhvansh Jain, Prajwal Avhad +9Generalizable Robotic Manipulations Robot Policies
SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents
Jul 17, 2026Yanze Wang, Pengfei Yao, Tianyi Sun +7Large Language Model Agents Text Corpora
Akashic: A Low-Overhead LLM Inference Service with MemAttention
Jul 7, 2026Yang Liu, Zhaokai Luo, Huayi Jin +7Large Language Model Memory LLM Inference Efficiency
InternVLA-A1.5: Unifying Understanding, Latent Foresight, and Action for Compositional Generalization
Jul 6, 2026Haoxiang Ma, Junhao Cai, Xiaoxu Xu +26Foresight Large Vision Language Models
Evaluating Generative Agents with Actions Grounded in Socially Distributed Task Environments using Incognita
Jul 3, 2026Dan C. Hsu, Luke LuAgentic Evaluations Task-Relevant Evidence
Forensic Trajectory Signatures for Agent Memory Poisoning Detection
Jun 29, 2026Jun Wen LeongDigital Forensics Task-Relevant Evidence
Joint Learning of Experiential Rules and Policies for Large Language Model Agents
Jun 25, 2026Shicheng Ye, Chao YuAgentic Reinforcement-Learning Framework Large Language Model Agents
TaskTok: Delving into Task Tokens for Task-driven Image Restoration
Jun 25, 2026Hongjae Lee, Sojung Kang, Jaeseong Yu +1Image Restoration Self-Supervised Reconstruction Method
AI Exposure Scores: what they measure, what they miss, and what comes next
Jun 22, 2026Campbell Lund, Thomas Euyang, Zanele Munyikwa +1Performance Metric Task-Relevant Evidence
KEMO: Event-Driven Keyframe Memory for Long-Horizon Robot Manipulation with VLA Policies
Jun 22, 2026Yihan Zeng, Minghao Ye, Yiyuan Chen +4Long-Horizon Planning Memory-Augmented Large Language Models
Decoupled Object-Centric Video Understanding for Generating Robotic Manipulation Commands
Jun 15, 2026Thanh Nguyen Canh, Thanh-Tuan Tran, Haolan Zhang +3Generalizable Robotic Manipulations Fine-Grained Video Understanding
Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents
Jun 10, 2026Hao-Lun Hsu, Nikki Lijing Kuang, Boyi Liu +2Agent Memory Long-Horizon Agents
What Makes Video World Model Latents Action-Relevant: Prediction over Reconstruction
Jun 5, 2026Jewon Yeom, Hanseul Kim, Jeongjae Park +3Video Pretraining Task-Relevant Evidence
What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning
Jun 4, 2026Rohan Siva, Neel P. Bhatt, Yunhao Yang +6Affordances Robot Planning
CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations
Jun 1, 2026Chengfeng Wu, Tao Zou, Yanru Wu +1Multi--Task Learning Causal Representation Learning
Sequential statistical inference for Large Language Models: Representation, validity, and monitoring
May 30, 2026Yao XieLarge Language Model Reliability Trustworthy Artificial Intelligence
OptiWorld: Optimal Control for Video World Generation under Physical Constraints
May 30, 2026Yu Yuan, Jianhao Yuan, Xijun Wang +4Controllable Video Generation Minute-Long Consistent World Generation
Learning to Perceive the World Through Control: Empowerment-Based Representation Learning
May 28, 2026Mahsa Bastankhah, Sophie Broderick, Benjamin EysenbachControl System Operator Learning Representation Learning
Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor
May 27, 2026Guoxin Ma, Yibing Liu, Chengzhengxu Li +7Efficient Long-Context Inference Context Compression
When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
May 25, 2026Chenghao Qiu, Chunli Peng, Yufeng Yang +2In-Context Learning Natural Language Inference
Represented Is Not Computed: A Causal Test of Candidate Algorithmic Intermediates in a Transformer
May 21, 2026Ishita Darade, Sushrut ThoratArithmetic Intermediate Representations
ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop
May 18, 2026Yining Hong, Jiageng Liu, Han Yin +5Embodied Spatial Intelligence Perception-Action Loop
GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization
May 12, 2026Xiaosong Jia, Bowen Yang, Zuhao Ge +17Large Vision Language Models Task-Relevant Evidence
A Controlled Counterexample to Strong Proxy-Based Explanations of OOD Performance: in a Fixed Pretraining-and-Probing Setup
May 12, 2026Hongmin LiContent Provenance Out-Of-Distribution
An Information-Theoretic Criterion for Efficient Data Synthesis
May 11, 2026Hanyu Li, Zhengqi Sun, Xiaotie DengSynthetic Data Information Bottleneck
Nectar: Neural Estimation of Cached-Token Attention via Regression
May 10, 2026João Monteiro, Michal Klein, Pierre Ablin +1Softmax Attention Efficient Long-Context Inference
Learning CLI Agents with Structured Action Credit under Selective Observation
May 8, 2026Haoyang Su, Ying WenAgentic Reinforcement-Learning Framework Computer-Use Agents
When Stored Evidence Stops Being Usable: Scale-Conditioned Evaluation of Agent Memory
May 8, 2026Jiaqi Shao, Yiyi Lu, Yunzhen Zhang +1Agent Memory Agentic Evaluations
Pretraining Induces a Reusable Spectral Basis for Downstream Task Adaptation
May 8, 2026Junjie Yu, Yue Wang, Zihan Deng +3Model Pretraining Finetuning
Visual Text Compression as Measure Transport
May 6, 2026Lv Tang, Tianyi Zheng, Yang Liu +2Token Compression Vision Transformer
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
May 5, 2026Zhongjian Zhang, Yue Yu, Mengmei Zhang +3Graph Language Models Task-Relevant Evidence
PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies
May 2, 2026Viet Thanh Duy Nguyen, John K. Johnstone, Truong-Son HyProtein Data Bank Representation Learning
SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent
Apr 28, 2026Yikai Zhang, Jiaxin Pei, Kenan Li +9Swe-Bench Verified Coding Agents
A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression
Apr 21, 2026Jincheng Ren, Siwei Wu, Yizhi Li +8Long-Horizon Agents Context Compression
CAPruner: Conceptual-Adjacent Scene Graph Pruner for Enhancing 3D Spatial Reasoning of Large Language Models
Apr 21, 2026Shengli Zhou, Xiangchen Wang, Guanhua Chen +13D Spatial Reasoning Hierarchical 3D Scene Graphs
Sparse Bayesian Modeling of EEG Channel Interactions Improves P300 Brain-Computer Interface Performance
Feb 19, 2026Guoxuan Ma, Yuan Zhong, Moyan Li +2Brain-Computer Interface Electroencephalography Spatial Super-Resolution
Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models
Jan 21, 2026Injin Kong, Hyoungjoon Lee, Yohan JoMasked Diffusion Language Models Diffusion Language Models
Attentive multilayer fusion for vision transformers
Jan 14, 2026Laure Ciernik, Marco Morik, Lukas Thede +4Self-Supervised Vision Transformers Vision Transformer

Sep 16, 2026 · eess.SPJ/K move · Enter open · S save

Semantic CSI Feedback for Beam Selection: When Task-Aware Embeddings from Sparse Pilots Outperform Full-Bandwidth Reconstruction

Cristian J. Vaca-Rubio, Konstantinos Vandikas, Aneta Vulgarakis Feljan

Classical CSI feedback in FDD massive MIMO transmits a compressed reconstruction of the channel, optimizing fidelity to the original signal regardless of the downstream task. We propose a semantic communication perspective: instead of reconstructing the channel, the UE transmits a learned \emph{semantic embedding} optimized end-to-end for beam selection at the gNB. Comparing reconstruction-oriented feedback (CsiNet) against task-aware semantic feedback across two input domains and three observation scenarios, we show that a semantic embedding of just

d=8

real values from only 43 NR CSI-RS pilots in the angular-delay domain achieves the highest beam prediction accuracy, outperforming every method with access to the full 512-subcarrier channel. The key insight is that beam-relevant information is intrinsically low-dimensional: the semantic encoder learns to discard reconstruction-irrelevant structure and retain only a compact representation that is relevant to beam selection, realizing the core principle of semantic communication: transmit the intent, not the signal.

Channel State Information Semantic Communications Multiple-Input Multiple-Output Task-Relevant Evidence Encoders

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