Teaching Machines to Read and Comprehend

1. 2021Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsitycited by 3,014
2. 2020Learning to summarize from human feedbackcited by 2,562
3. 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,205
4. 2019Fine-Tuning Language Models from Human Preferencescited by 2,124
5. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 888
6. 2021BARTScore: Evaluating Generated Text as Text Generationcited by 719
7. 2023C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Modelscited by 694
8. 2023LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusioncited by 550
9. 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answeringcited by 525
10. 2021Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpuscited by 481
11. 2023Benchmarking Large Language Models for News Summarizationcited by 444
12. 2023CMMLU: Measuring massive multitask language understanding in Chinesecited by 436

50 most cited of 1,039 · All 1,039 (JSON)

1. 2026Efficient Task Adaptation in Large Language Models: A Survey of Weight-Based, Prompt-Based, and Embedding-Based Adaptations1 Oct 2026
2. 2026Clock Diffusion: Efficient Semi-Autoregressive Continuous Diffusion Language Models1 Oct 2026
3. 2026Forging LLM Authorship Fingerprints with Targeted Rewriting30 Sep 2026
4. 2026Greenpixie's AI Token Methodology: Assessing the Energy, Water and CO2-eq Impact of AI Tokens for Open and Closed Weight Models27 Sep 2026
5. 2026Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization27 Sep 2026
6. 2026To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals17 Sep 2026
7. 2026SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops12 Sep 2026
8. 2026HoliBench: A Cross-Platform Benchmarking and Deployment Toolkit for Foundation Models in CPS-IoT Applications11 Sep 2026
9. 2026Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss10 Sep 2026
10. 2026PELM: Power Efficient On-Device LLM Inference with Speculative Decoding and Dynamic Voltage Frequency Scaling9 Sep 2026
11. 2026A Novel Semantic Manifold Alignment Attack against Embedding-to-Embedding Obfuscation in Privacy-Preserving LLMs6 Sep 2026
12. 2026WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading2 Sep 2026

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1. 2022Confident Adaptive Language Modelingcited by 297
2. 2022Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generationcited by 169
3. 2023Speculative Decoding with Big Little Decodercited by 163
4. 2023DistillSpec: Improving Speculative Decoding via Knowledge Distillationcited by 160
5. 2023SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inferencecited by 89
6. 2024Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inferencecited by 75
7. 2024Faster Cascades via Speculative Decodingcited by 38
8. 2022A Simple Hash-Based Early Exiting Approach For Language Understanding and Generationcited by 32
9. 2024Fast yet Safe: Early-Exiting with Risk Controlcited by 27
10. 2024Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decodingcited by 25
11. 2024Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decodingcited by 21
12. 2025Towards Optimal Multi-draft Speculative Decodingcited by 19

12 most cited of 44 · All 44 (JSON)

1. 2026To Copy or Not to Copy: Controlling Speculative Decoding via Intrinsic Model Signals17 Sep 2026
2. 2026SiliconBench: Speed, Memory, and Fidelity for LLM Serving on Unified-Memory Desktops12 Sep 2026
3. 2026PELM: Power Efficient On-Device LLM Inference with Speculative Decoding and Dynamic Voltage Frequency Scaling9 Sep 2026
4. 2026Beyond KV Reconstruction: Functional Reconstruction for MLA Draft Models in Speculative Decoding29 Jul 2026
5. 2026X-CoSD: Communication-Efficient Cross-Vocabulary Collaborative Speculative Decoding15 Jul 2026
6. 2026TreeGraft: Adaptive Multi-Drafter Grafting for Tree-Based Speculative Decoding28 May 2026
7. 2026From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph Priors25 Apr 2026
8. 2026Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference15 Apr 2026
9. 2026Multi-Drafter Speculative Decoding with Alignment Feedback7 Apr 2026
10. 2026Speculative Decoding with a Speculative Vocabulary14 Feb 2026
11. 2026MARS: Unleashing the Power of Speculative Decoding via Margin-Aware Verification21 Jan 2026
12. 2025Speculative Decoding: Performance or Illusion?31 Dec 2025

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1. 2023Provable Robust Watermarking for AI-Generated Textcited by 259
2. 2023A Survey of Text Watermarking in the Era of Large Language Modelscited by 102
3. 2023Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibrationcited by 90
4. 2023Jatmo: Prompt Injection Defense by Task-Specific Finetuningcited by 89
5. 2021Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasurescited by 69
6. 2023Mark My Words: Analyzing and Evaluating Language Model Watermarkscited by 62
7. 2023A Resilient and Accessible Distribution-Preserving Watermark for Large Language Modelscited by 47
8. 2024A Survey of Recent Backdoor Attacks and Defenses in Large Language Modelscited by 36
9. 2023Optimizing watermarks for large language modelscited by 22
10. 2025StealthInk: A Multi-bit and Stealthy Watermark for Large Language Modelscited by 11
11. 2024Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisionscited by 10
12. 2025Majority Bit-Aware Watermarking For Large Language Modelscited by 3

12 most cited of 22 · All 22 (JSON)

1. 2026WeaveMark: Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading2 Sep 2026
2. 2026Stability-Aware Feature Design for Robust Watermark Detection in Machine-Generated Text9 Jun 2026
3. 2026SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking24 Apr 2026
4. 2026QuantileMark: A Message-Symmetric Multi-bit Watermark for LLMs15 Apr 2026
5. 2026XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts6 Apr 2026
6. 2026Learning the Signature of Memorization in Autoregressive Language Models3 Apr 2026
7. 2026Alignment Risks from Capability-Seeking RL Training12 Feb 2026
8. 2026WorldCup Sampling for Multi-bit LLM Watermarking2 Feb 2026
9. 2026Powerful Training-Free Membership Inference Against Autoregressive Language Models17 Jan 2026
10. 2025In-Context Probing for Membership Inference in Fine-Tuned Language Models18 Dec 2025
11. 2025Majority Bit-Aware Watermarking For Large Language Models5 Aug 2025
12. 2025StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models5 Jun 2025

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1. 2023A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivitycited by 888
2. 2023Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Methodcited by 76
3. 2023Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarizationcited by 70
4. 2023Rethinking Model Evaluation as Narrowing the Socio-Technical Gapcited by 56
5. 2025Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluationcited by 20
6. 2025Scaling Autonomous Agents via Automatic Reward Modeling And Planningcited by 19
7. 2024Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Promptscited by 10
8. 2025Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillationcited by 8
9. 2025Scalable LLM Reasoning Acceleration with Low-rank Distillationcited by 7
10. 2024DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Modelscited by 4
11. 2024Uncertainty-Guided Likelihood Tree Searchcited by 4
12. 2024Self-Consistent Decoding for More Factual Open Responsescited by 3

12 most cited of 18 · All 18 (JSON)

1. 2026Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate27 Apr 2026
2. 2025Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning28 Oct 2025
3. 2025Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation20 Jun 2025
4. 2025Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation20 May 2025
5. 2025Scalable LLM Reasoning Acceleration with Low-rank Distillation8 May 2025
6. 2025Scaling Autonomous Agents via Automatic Reward Modeling And Planning17 Feb 2025
7. 2024StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs23 Dec 2024
8. 2024MetaRuleGPT: Recursive Numerical Reasoning of Language Models Trained with Simple Rules18 Dec 2024
9. 2024Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts17 Sep 2024
10. 2024ReFeR: Improving Evaluation and Reasoning through Hierarchy of Models16 Jul 2024
11. 2024Uncertainty-Guided Likelihood Tree Search4 Jul 2024
12. 2024Self-Consistent Decoding for More Factual Open Responses1 Mar 2024

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1. 2023RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentationcited by 253
2. 2023RA-DIT: Retrieval-Augmented Dual Instruction Tuningcited by 194
3. 2022Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answeringcited by 126
4. 2024Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systemscited by 87
5. 2025Benchmarking LLM Faithfulness in RAG with Evolving Leaderboardscited by 19
6. 2024Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metricscited by 17
7. 2025WikiVideo: Article Generation from Multiple Videoscited by 13
8. 2026Retrieval as Generation: A Unified Framework with Self-Triggered Information Planningcited by 5
9. 2024GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?cited by 3
10. 2024A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluationcited by 2
11. 2025From Static to Dynamic: A Streaming RAG Approach to Real-time Knowledge Basecited by 2
12. 2024Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalizationcited by 0

12 most cited of 14 · All 14 (JSON)

1. 2026The Multilingual Curse at the Retrieval Layer: Evidence from Amharic23 May 2026
2. 2026Bridging the Long-Tail Gap: Robust Retrieval-Augmented Relation Completion via Multi-Stage Paraphrase Infusion24 Apr 2026
3. 2026Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning13 Apr 2026
4. 2025From Static to Dynamic: A Streaming RAG Approach to Real-time Knowledge Base31 Jul 2025
5. 2025Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards7 May 2025
6. 2025WikiVideo: Article Generation from Multiple Videos1 Apr 2025
7. 2024Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization12 Sep 2024
8. 2024A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation22 Aug 2024
9. 2024GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?14 Jul 2024
10. 2024Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems1 Jul 2024
11. 2024Towards Fine-Grained Citation Evaluation in Generated Text: A Comparative Analysis of Faithfulness Metrics21 Jun 2024
12. 2023RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation6 Oct 2023

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1. 2020Learning to summarize from human feedbackcited by 2,562
2. 2019Fine-Tuning Language Models from Human Preferencescited by 2,124
3. 2023Statistical Rejection Sampling Improves Preference Optimizationcited by 321
4. 2023Training Language Models with Language Feedback at Scalecited by 125
5. 2022On Improving Summarization Factual Consistency from Natural Language Feedbackcited by 38
6. 2022Uncertainty Estimation for Language Reward Modelscited by 35
7. 2023Preference-grounded Token-level Guidance for Language Model Fine-tuningcited by 31
8. 2024Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanationscited by 30
9. 2023Improving Factual Consistency of News Summarization by Contrastive Preference Optimizationcited by 6
10. 2024Learning to Verify Summary Facts with Fine-Grained LLM Feedbackcited by 4
11. 2024Aligning Large Language Models with Counterfactual DPOcited by 3

1. 2024Learning to Verify Summary Facts with Fine-Grained LLM Feedback14 Dec 2024
2. 2024Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations23 Feb 2024
3. 2024Aligning Large Language Models with Counterfactual DPO17 Jan 2024
4. 2023Improving Factual Consistency of News Summarization by Contrastive Preference Optimization30 Oct 2023
5. 2023Statistical Rejection Sampling Improves Preference Optimization13 Sep 2023
6. 2023Preference-grounded Token-level Guidance for Language Model Fine-tuning1 Jun 2023
7. 2023Training Language Models with Language Feedback at Scale28 Mar 2023
8. 2022On Improving Summarization Factual Consistency from Natural Language Feedback20 Dec 2022
9. 2022Uncertainty Estimation for Language Reward Models14 Mar 2022
10. 2020Learning to summarize from human feedback2 Sep 2020
11. 2019Fine-Tuning Language Models from Human Preferences18 Sep 2019

1. 2021Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsitycited by 3,014
2. 2022ST-MoE: Designing Stable and Transferable Sparse Expert Modelscited by 391
3. 2022SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarizationcited by 61
4. 2024HyperMoE: Towards Better Mixture of Experts via Transferring Among Expertscited by 25
5. 2023Adaptive Gating in Mixture-of-Experts based Language Modelscited by 16
6. 2026Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuningcited by 10
7. 2025Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decodingcited by 8
8. 2026SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative Decodingcited by 3
9. 2026A Spatio-Temporal Expert Prefetching Framework for Efficient MoE-based LLM Inferencecited by 3
10. 2026HiVe: Beyond Static Prompts for Multitask Learning via Hierarchy-based Vertical Mixture-of-Expertscited by 0

1. 2026HiVe: Beyond Static Prompts for Multitask Learning via Hierarchy-based Vertical Mixture-of-Experts30 Aug 2026
2. 2026A Spatio-Temporal Expert Prefetching Framework for Efficient MoE-based LLM Inference13 Jun 2026
3. 2026SpecMoE: A Fast and Efficient Mixture-of-Experts Inference via Self-Assisted Speculative Decoding11 Apr 2026
4. 2026Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning26 Jan 2026
5. 2025Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding29 Aug 2025
6. 2024HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts20 Feb 2024
7. 2023Adaptive Gating in Mixture-of-Experts based Language Models11 Oct 2023
8. 2022SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization13 Mar 2022
9. 2022ST-MoE: Designing Stable and Transferable Sparse Expert Models17 Feb 2022
10. 2021Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity11 Jan 2021

1. 2023AR-Diffusion: Auto-Regressive Diffusion Model for Text Generationcited by 113
2. 2022Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoisecited by 79
3. 2023TESS: Text-to-Text Self-Conditioned Simplex Diffusioncited by 63
4. 2023PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Modelcited by 56
5. 2025Encoder-Decoder Diffusion Language Models for Efficient Training and Inferencecited by 21
6. 2025Guided Star-Shaped Masked Diffusioncited by 5
7. 2026Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decodingcited by 2
8. 2026Spectral-Guided Diffusion: Accelerating Inference via Static Spectral Layer Schedulingcited by 0
9. 2026Clock Diffusion: Efficient Semi-Autoregressive Continuous Diffusion Language Modelscited by 0

1. 2026Clock Diffusion: Efficient Semi-Autoregressive Continuous Diffusion Language Models1 Oct 2026
2. 2026Spectral-Guided Diffusion: Accelerating Inference via Static Spectral Layer Scheduling24 Aug 2026
3. 2026Set Diffusion: Interpolating Token Orderings Between Autoregression and Diffusion for Fast and Flexible Decoding2 Jul 2026
4. 2025Encoder-Decoder Diffusion Language Models for Efficient Training and Inference26 Oct 2025
5. 2025Guided Star-Shaped Masked Diffusion9 Oct 2025
6. 2023PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model5 Jun 2023
7. 2023AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation16 May 2023
8. 2023TESS: Text-to-Text Self-Conditioned Simplex Diffusion15 May 2023
9. 2022Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise22 Dec 2022

1. 2025Agent.xpu: Efficient Scheduling of Agentic LLM Workloads on Heterogeneous SoCcited by 11
2. 2025ZERA: Zero-init Instruction Evolving Refinement Agent -- From Zero Instructions to Structured Prompts via Principle-based Optimizationcited by 6
3. 2025YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarizationcited by 2
4. 2025FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extractioncited by 1
5. 2026Asymmetric Capacity Allocation in Self-Refinement Pipelinescited by 0

1. 2026Asymmetric Capacity Allocation in Self-Refinement Pipelines21 Aug 2026
2. 2025ZERA: Zero-init Instruction Evolving Refinement Agent -- From Zero Instructions to Structured Prompts via Principle-based Optimization17 Sep 2025
3. 2025Agent.xpu: Efficient Scheduling of Agentic LLM Workloads on Heterogeneous SoC30 Jun 2025
4. 2025FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction8 Apr 2025
5. 2025YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization4 Apr 2025

1. 2020Text Generation by Learning from Demonstrationscited by 64
2. 2023Semi-Offline Reinforcement Learning for Optimized Text Generationcited by 12
3. 2022Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learningcited by 2

1. 2023Semi-Offline Reinforcement Learning for Optimized Text Generation16 Jun 2023
2. 2022Towards Interpretable Deep Reinforcement Learning Models via Inverse Reinforcement Learning30 Mar 2022
3. 2020Text Generation by Learning from Demonstrations16 Sep 2020

1. 2025Mamba Drafters for Speculative Decodingcited by 3
2. 2026Efficient Extractive Summarization with MAMBA-Transformer Hybrids for Low-Resource Scenarioscited by 0

1. 2026Efficient Extractive Summarization with MAMBA-Transformer Hybrids for Low-Resource Scenarios1 Mar 2026
2. 2025Mamba Drafters for Speculative Decoding1 Jun 2025

1. 2024Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instructcited by 15
2. 2025Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Taskscited by 6

1. 2025Semantic Voting: A Self-Evaluation-Free Approach for Efficient LLM Self-Improvement on Unverifiable Open-ended Tasks27 Sep 2025
2. 2024Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct2 Oct 2024

1. 2024MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Casescited by 13

1. 2024MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases12 Jun 2024

1. 2023G-Eval: NLG Evaluation using GPT-4 with Better Human Alignmentcited by 2,205
2. 2021BARTScore: Evaluating Generated Text as Text Generationcited by 719
3. 2023C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Modelscited by 694
4. 2023LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusioncited by 550
5. 2022MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answeringcited by 525
6. 2021Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpuscited by 481
7. 2023Benchmarking Large Language Models for News Summarizationcited by 444
8. 2023CMMLU: Measuring massive multitask language understanding in Chinesecited by 436
9. 2023Is ChatGPT a Good NLG Evaluator? A Preliminary Studycited by 420
10. 2021A Survey of Data Augmentation Approaches for NLPcited by 408
11. 2021TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Financecited by 402
12. 2021A Survey on Automated Fact-Checkingcited by 376

12 most cited of 898 · All 898 (JSON)

1. 2026Efficient Task Adaptation in Large Language Models: A Survey of Weight-Based, Prompt-Based, and Embedding-Based Adaptations1 Oct 2026
2. 2026Forging LLM Authorship Fingerprints with Targeted Rewriting30 Sep 2026
3. 2026Greenpixie's AI Token Methodology: Assessing the Energy, Water and CO2-eq Impact of AI Tokens for Open and Closed Weight Models27 Sep 2026
4. 2026Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization27 Sep 2026
5. 2026HoliBench: A Cross-Platform Benchmarking and Deployment Toolkit for Foundation Models in CPS-IoT Applications11 Sep 2026
6. 2026Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss10 Sep 2026
7. 2026A Novel Semantic Manifold Alignment Attack against Embedding-to-Embedding Obfuscation in Privacy-Preserving LLMs6 Sep 2026
8. 2026Beyond Scores: Understanding LLM-as-a-Judge Mechanisms in Summarization Evaluation1 Sep 2026
9. 2026Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training31 Aug 2026
10. 2026Improving Argument Saliency Coverage in Small LLMs for Long Legal Opinion Summarization via Sequence-Level Distillation30 Aug 2026
11. 2026Loss-Based Active Learning for Neural Abstractive Summarization26 Aug 2026
12. 2026Dynamic Multi-Byte Prediction With Hierarchical Language Models16 Aug 2026

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