TechniqueRLHF / Alignment8 recent entries12 Oct 2026LongHarness: Advancing Agentic Reasoning over 100M-Token Corpora via Stateful Evidence ManagementarXiv:2610.13075v1 Announce Type: new Abstract: Corpus-level long-context reasoning requires agents to acquire and integrate evidence across document collections that exceed their context windows. Exi→12 Oct 2026KITE: A Knowledge-Injected Temporal Encoder for Time-Series Event ForecastingarXiv:2610.12738v1 Announce Type: cross Abstract: Forecasting rare, high-cost events in multivariate time-series systems is hard because their precursors are seldom observed, so a purely data-driven m
TechniqueRAG8 recent entries9 Oct 2026From Retrieval to Reconstruction: Constructing Evolvable Cognitive Memory for Long-Term DialoguearXiv:2610.11314v1 Announce Type: new Abstract: Large Language Models (LLMs) serving as long-term dialogue agents require memory systems that support reliable reasoning over extended interactions. How→9 Oct 2026Event-Centric Memory with Query-Aware Graph Augmentation for Long-Term Conversational AgentsarXiv:2610.11920v1 Announce Type: new Abstract: For persistent and personalized conversational agents, memory systems can enable them to remember, update, and reason over long histories by storing pas→12 Oct 2026Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge GrapharXiv:2610.13695v1 Announce Type: new Abstract: Any automation within reliability-critical contexts such as medicine or law has to be transparent and verifiable. Despite their advantages, current LLM-→12 Oct 2026Structural Automata for Neural Semantic ParsingarXiv:2610.13896v1 Announce Type: new Abstract: Neural semantic parsers generate meaning representations token by token, yet well-formedness depends on references, scope, and graph relations that unfo→12 Oct 2026SEEDS: Preview-Guided Evidence Admission for Search AgentsarXiv:2610.12932v1 Announce Type: new Abstract: Search agents extend large reasoning models with multi-round access to external knowledge, yet most existing systems largely conflate retrieving evidenc→12 Oct 2026Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical PrognosisarXiv:2610.13510v1 Announce Type: new Abstract: Clinical prognosis requires integrating structured measurements, physiological waveforms, longitudinal history, and population context. We introduce PRI→12 Oct 2026KV-Repurpose: A Testbed for Evaluating Non-Prefix KV-Cache ReusearXiv:2610.13060v1 Announce Type: new Abstract: KV-cache reuse in large language model serving is commonly limited to exact prompt prefixes, preventing reuse when the same retrieved document appears a→12 Oct 2026Beyond the Final Embedding: Retrieving Memories from Token-Level EvidencearXiv:2610.13277v1 Announce Type: cross Abstract: Memory-augmented assistants retrieve evidence from stored conversations and documents to answer queries. Most embedding-based retrievers compare singl
TechniqueAgents8 recent entries12 Oct 2026Humanize MLE Agents: Multi-Agent Session Alternation Beyond Single-Agent LimitsarXiv:2610.13494v1 Announce Type: new Abstract: Existing LLM-based agent approaches for long-horizon machine learning engineering (MLE) often use context engineering, implemented through custom harnes→12 Oct 2026HAFixAgent: History-Aware Agentic Program RepairarXiv:2511.01047v4 Announce Type: replace-cross Abstract: Automated program repair (APR) has recently shifted toward large language models and agent-based systems, while prior work shows that reposito→12 Oct 2026Gamma: Grounded Multi-Agent Memory with Mechanical Audit for Memory-Intensive ManipulationarXiv:2610.12793v1 Announce Type: new Abstract: Pretrained vision-language-action (VLA) policies fail on memory tasks, behaviour that depends on events observed long before the current frame, because →12 Oct 2026Evo^2: Evolving the Evolver through Weight-Harness Co-EvolutionarXiv:2610.13025v1 Announce Type: new Abstract: Self-evolving agents are increasingly used to improve language model systems without human intervention through either weight updates or harness improve→12 Oct 2026Collaborative Learning and Reasoning over Model SlicesarXiv:2610.12927v1 Announce Type: new Abstract: Large language models (LLMs) excel across diverse tasks, benefiting from knowledge priors, in-context reasoning, and test-time computation. Despite thes→12 Oct 2026Beyond the Final Embedding: Retrieving Memories from Token-Level EvidencearXiv:2610.13277v1 Announce Type: cross Abstract: Memory-augmented assistants retrieve evidence from stored conversations and documents to answer queries. Most embedding-based retrievers compare singl→12 Oct 2026Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingarXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge →12 Oct 2026A Baseline Assessment for the Agentic Web Technology StackarXiv:2610.13703v1 Announce Type: new Abstract: The fast pace in which protocols, frameworks, and technologies are being proposed for LLM-based agents results in a complex scenario for anyone aiming t
TechniqueFine-tuning8 recent entries12 Oct 2026Retrieval-Augmented Multimodal Language Model with Heterogeneous Evidence Integration for Clinical PrognosisarXiv:2610.13510v1 Announce Type: new Abstract: Clinical prognosis requires integrating structured measurements, physiological waveforms, longitudinal history, and population context. We introduce PRI→12 Oct 2026PACT: Privileged Trace Co-Training for Multi-Turn Tool-Use AgentsarXiv:2606.16215v2 Announce Type: replace-cross Abstract: Multi-turn tool-use agents must reason, call tools, and adapt to observations across several interaction turns. Post-training such agents is c→12 Oct 2026MoPrO-SD: Modular Prompt Optimization for Stance DetectionarXiv:2610.13386v1 Announce Type: new Abstract: Stance detection remains challenging for large language models (LLMs) due to implicit opinions, sarcasm, and context-dependent expressions of stance. Al→12 Oct 2026Masked Diffusion Language Agents for Tool-Integrated Chemical ReasoningarXiv:2610.13330v1 Announce Type: new Abstract: Designing tool-integrated reasoning agent systems for complex chemical tasks remains a fundamental challenge. Although recent chemical agents have demon→12 Oct 2026Expert-level detection of low-voltage intervals in EEG as a robust biomarker of neonatal encephalopathyarXiv:2610.12680v1 Announce Type: new Abstract: Background: Discontinuity in neonatal EEG is a critical marker of brain dysfunction but can be difficult to quantify visually. Inter-burst intervals (IB→12 Oct 2026DeltaLLM: Delta-Key Sparse Attention for Edge LLMsarXiv:2507.19608v2 Announce Type: replace Abstract: On-device LLM inference is increasingly important for edge platforms but remains challenging due to high computational and memory demands and tight →12 Oct 2026Continually Post-training Small Models via Synthetic Self-distillationarXiv:2610.13113v1 Announce Type: cross Abstract: Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. Whil→12 Oct 2026Behind-the-Meter Photovoltaic Visibility from Net Smart Meters: Deployment Regimes and Operational InsightsarXiv:2610.12527v1 Announce Type: new Abstract: Distribution operators need visibility of behind-the-meter photovoltaic (PV) generation, yet most residential customers are observed only through net sm
TechniqueMultimodal8 recent entries12 Oct 2026Noise Space Learning for VLA AdaptationarXiv:2610.13943v1 Announce Type: new Abstract: Pretrained vision-language-action (VLA) models encode broad manipulation priors, yet adapting them to specific tasks requires balancing limited robot in→12 Oct 2026Les Miserables Dialogue: A film-based network representation of social communicationarXiv:2610.13148v1 Announce Type: cross Abstract: In this work, we revisit the classic Les Miserables benchmark network from the perspective of social communication. Using the 1998 film adaptation of →12 Oct 2026GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose TransferarXiv:2610.12528v1 Announce Type: new Abstract: Continuous glucose monitoring (CGM) foundation models encode each day as one vector that mixes who the person is, what happened that day and how the sen→12 Oct 2026Gamma: Grounded Multi-Agent Memory with Mechanical Audit for Memory-Intensive ManipulationarXiv:2610.12793v1 Announce Type: new Abstract: Pretrained vision-language-action (VLA) policies fail on memory tasks, behaviour that depends on events observed long before the current frame, because →12 Oct 2026Dual-Stream Memory for Vision-Language-Action PoliciesarXiv:2610.13262v1 Announce Type: new Abstract: Memory-dependent manipulation requires a policy to track execution state and recover visual evidence that is no longer observable. We propose dual-strea→12 Oct 2026Continually Post-training Small Models via Synthetic Self-distillationarXiv:2610.13113v1 Announce Type: cross Abstract: Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. Whil→12 Oct 2026Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingarXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge →12 Oct 2026A Privileged Teacher That Only Scores Cannot Search: Critique-Conditioned On-Policy Self-Distillation for ReasoningarXiv:2610.13744v1 Announce Type: new Abstract: On-policy self-distillation promises to replace the sparse outcome signal of verifiable-reward RL with dense token-level credit: a teacher conditioned o
TechniqueSafety8 recent entries12 Oct 2026Proactive Agentic OrchestrationarXiv:2610.13485v1 Announce Type: new Abstract: Agentic orchestration delegates tasks to sub-agents with independent contexts, providing a key path to extending the effective execution horizon of larg→12 Oct 2026Noise Space Learning for VLA AdaptationarXiv:2610.13943v1 Announce Type: new Abstract: Pretrained vision-language-action (VLA) models encode broad manipulation priors, yet adapting them to specific tasks requires balancing limited robot in→12 Oct 2026Mitigating Capability Degradation in LLM Self-Improvement via Representation Geometry RegularizationarXiv:2610.12855v1 Announce Type: new Abstract: On-Policy Self-distillation is a self-improvement paradigm that enables large language models (LLMs) to improve their capabilities by leveraging the sam→12 Oct 2026Matched-Context Group Policy Optimization for LLM Agent TrainingarXiv:2610.13755v1 Announce Type: cross Abstract: Training long-horizon language model agents requires assigning credit to intermediate decisions from sparse terminal feedback. Within a finite group o→12 Oct 2026KITE: A Knowledge-Injected Temporal Encoder for Time-Series Event ForecastingarXiv:2610.12738v1 Announce Type: cross Abstract: Forecasting rare, high-cost events in multivariate time-series systems is hard because their precursors are seldom observed, so a purely data-driven m→12 Oct 2026Dual-Stream Memory for Vision-Language-Action PoliciesarXiv:2610.13262v1 Announce Type: new Abstract: Memory-dependent manipulation requires a policy to track execution state and recover visual evidence that is no longer observable. We propose dual-strea→12 Oct 2026Collaborative Theory of Mind: Learning to Self-Revise by Anticipating User ResponsesarXiv:2610.12872v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong individual task performance, yet still struggle to collaborate with users over extended, multi-turn inte→12 Oct 2026Bridging Human and Model Attention: Explainability Analysis of CNN, Mamba, and ViT Architectures with Gaze-Based ValidationarXiv:2610.12703v1 Announce Type: cross Abstract: High-risk applications of deep learning require precise characterization of model decision-making. We conduct a systematic explainability evaluation a