SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

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2. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
3. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
4. 2023LongBench: A Bilingual, Multitask Benchmark for Long Context Understandingcited by 1,417
5. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 894
6. 2024Gated Delta Networks: Improving Mamba2 with Delta Rulecited by 532
7. 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?cited by 488
8. 2024Safety Alignment Should Be Made More Than Just a Few Tokens Deepcited by 472
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3. 2026Spectral Geometry of Attention: From Information Routing to Uncertainty5 Oct 2026
4. 2026Voltic: Distinguishing Volatility from Stochasticity in Recurrent Memory5 Oct 2026
5. 2026Efficient Task Adaptation in Large Language Models: A Survey of Weight-Based, Prompt-Based, and Embedding-Based Adaptations1 Oct 2026
6. 2026Forging LLM Authorship Fingerprints with Targeted Rewriting30 Sep 2026
7. 2026dattri-LLM: A Unified and Efficient Library for Training Data Attribution at LLM Scale30 Sep 2026
8. 2026Fractional State Space Transition for Long Sequence Modeling28 Sep 2026
9. 2026When to Evict, Not What to Keep: Draft-Guided Eviction for Training-Free KV-Cache Compression27 Sep 2026
10. 2026Can One Adapted Model Do It All? Fine-Tuning Strategy Selection for Customer Support LLMs23 Sep 2026
11. 2026ARM: Attention with Routed-Memory for Learnable Sparse Control21 Sep 2026
12. 2026SGD-KV: Summarization Guided KV Cache Compression3 Sep 2026

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1. 2024PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funnelingcited by 432
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10. 2025CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspectivecited by 26
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1. 2026ChampionKV: Head-Wise Adaptive Budget Allocation for KV Cache Compression13 Oct 2026
2. 2026When to Evict, Not What to Keep: Draft-Guided Eviction for Training-Free KV-Cache Compression27 Sep 2026
3. 2026SGD-KV: Summarization Guided KV Cache Compression3 Sep 2026
4. 2026SmartGen: Seamless Disaggregated LLM Inference with Selective KV Cache Transfer30 Jul 2026
5. 2026Coverage-Driven KV Cache Eviction for Efficient and Improved Inference of LLM28 Jun 2026
6. 2026Bastion: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting28 May 2026
7. 2026Adaptive KV Cache Reuse for Fast Long-Context LLM Serving20 May 2026
8. 2026Reformulating KV Cache Eviction Problem for Long-Context LLM Inference8 May 2026
9. 2026AsyncTLS: Efficient Generative LLM Inference with Asynchronous Two-level Sparse Attention9 Apr 2026
10. 2026Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction9 Feb 2026
11. 2025KV Cache Transform Coding for Compact Storage in LLM Inference3 Nov 2025
12. 2025No Mean Feat: Simple, Strong Baselines for Context Compression23 Oct 2025

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1. 2024Safety Alignment Should Be Made More Than Just a Few Tokens Deepcited by 472
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7. 2025LookAhead Tuning: Safer Language Models via Partial Answer Previewscited by 7
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9. 2024Learning to Verify Summary Facts with Fine-Grained LLM Feedbackcited by 4
10. 2026LLMs Can Unlearn Refusal with Only 1,000 Benign Samplescited by 3
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3. 2026Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance5 Jan 2026
4. 2025The Blessing and Curse of Dimensionality in Safety Alignment27 Jul 2025
5. 2025Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs21 Jun 2025
6. 2025Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights6 Jun 2025
7. 2025Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets5 Jun 2025
8. 2025SafeTuneBed: A Toolkit for Benchmarking LLM Safety Alignment in Fine-Tuning31 May 2025
9. 2025LookAhead Tuning: Safer Language Models via Partial Answer Previews24 Mar 2025
10. 2024Learning to Verify Summary Facts with Fine-Grained LLM Feedback14 Dec 2024
11. 2024Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey26 Sep 2024
12. 2024Reinforcement Learning without Human Feedback for Last Mile Fine-Tuning of Large Language Models29 Aug 2024

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6. 2025A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment22 Apr 2025
7. 2024Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning11 Apr 2024
8. 2024Chain of Thought Explanation for Dialogue State Tracking7 Mar 2024
9. 2023Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue13 Nov 2023
10. 2023Rethinking Model Evaluation as Narrowing the Socio-Technical Gap1 Jun 2023
11. 2023Commonsense Reasoning for Conversational AI: A Survey of the State of the Art15 Feb 2023
12. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity8 Feb 2023

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5. 2025Defense against Prompt Injection Attacks via Mixture of Encodings10 Apr 2025
6. 2025DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing17 Feb 2025
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8. 2024MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning21 Jun 2024
9. 2024To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models6 May 2024
10. 2024Digital Forgetting in Large Language Models: A Survey of Unlearning Methods2 Apr 2024
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5. 2025Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation22 Oct 2025
6. 2025S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner20 Aug 2025
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8. 2025Multi-Party Conversational Agents: A Survey24 May 2025
9. 2024Hello Again! LLM-powered Personalized Agent for Long-term Dialogue9 Jun 2024
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6. 2023Enhancing Abstractiveness of Summarization Models through Calibrated Distillation20 Oct 2023
7. 2023Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization7 Aug 2023

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5. 2025QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfigurationcited by 0
6. 2026Groundhog Bit-Flip Attack: Seeding Infinite Generation Loops in Mixture-of-Experts LLMs through Bit Flipscited by 0

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2. 2025Defending MoE LLMs against Harmful Fine-Tuning via Safety Routing Alignment26 Sep 2025
3. 2025QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration10 May 2025
4. 2025BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts24 Apr 2025
5. 2024MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors29 May 2024
6. 2022Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts25 May 2022

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4. 2024Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models15 Dec 2024

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2. 2024Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems1 Jul 2024
3. 2024xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token22 May 2024

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1. 2026EVA: Editing for Versatile Alignment against Jailbreaks14 May 2026
2. 2024CEGI: Measuring the trade-off between efficiency and carbon emissions for SLMs and VLMs3 Dec 2024

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1. 2024Parameter-Efficient Fine-Tuning of State Space Modelscited by 11

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1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
2. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
3. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
4. 2023LongBench: A Bilingual, Multitask Benchmark for Long Context Understandingcited by 1,417
5. 2024Gated Delta Networks: Improving Mamba2 with Delta Rulecited by 532
6. 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?cited by 488
7. 2024Better & Faster Large Language Models via Multi-token Predictioncited by 360
8. 2024LoRA Learns Less and Forgets Lesscited by 328
9. 2022UL2: Unifying Language Learning Paradigmscited by 295
10. 2023AlignScore: Evaluating Factual Consistency with a Unified Alignment Functioncited by 288
11. 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 267
12. 2021SPoT: Better Frozen Model Adaptation through Soft Prompt Transfercited by 235

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1. 2026EGCForest: Structured Agent Memory Organization for Enterprise Group Chats14 Oct 2026
2. 2026Spectral Geometry of Attention: From Information Routing to Uncertainty5 Oct 2026
3. 2026Voltic: Distinguishing Volatility from Stochasticity in Recurrent Memory5 Oct 2026
4. 2026Efficient Task Adaptation in Large Language Models: A Survey of Weight-Based, Prompt-Based, and Embedding-Based Adaptations1 Oct 2026
5. 2026Forging LLM Authorship Fingerprints with Targeted Rewriting30 Sep 2026
6. 2026dattri-LLM: A Unified and Efficient Library for Training Data Attribution at LLM Scale30 Sep 2026
7. 2026Fractional State Space Transition for Long Sequence Modeling28 Sep 2026
8. 2026Can One Adapted Model Do It All? Fine-Tuning Strategy Selection for Customer Support LLMs23 Sep 2026
9. 2026ARM: Attention with Routed-Memory for Learnable Sparse Control21 Sep 2026
10. 2026SelectInfer: Selective Neuron Loading and Computation for On-Device LLMs20 Jul 2026
11. 2026Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition16 Jul 2026
12. 2026PromptGraph: Graph-Guided Prompt Sanitization for Balancing Privacy and Utility in LLM Inference12 Jul 2026

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